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Position Summary

We have an exciting opportunity to join our team as an Engineer II – Applied AI. As an ML Engineer, you will support the implementation of diverse Generative AI and Machine Learning initiatives across the health system. You will drive specific projects forward in collaboration with data scientists, business units, and IT partners across various verticals including corporate services, the office of science and research, clinical, and pathology.

Job Responsibilities

• Design and implement AI/ML applications using our technology stack and best practices in software development.
• Collaborate with data scientists to build and fine‑tune high‑performing AI models and implement modern techniques from relevant published papers.
• Develop scalable and robust pipelines to support large data‑processing tasks.
• Implement internal security and data protection standards in AI applications; maintain AI system risk and security practices.
• Support the team in preparing for technical reviews and internal documentation (architecture, IT security, AI).
• Collaborate with stakeholders to meet team objectives; gather feature requirements, identify AI opportunities, create tickets, participate in backlog refinement, execute tickets, and conduct code review.
• Stay updated with the latest industry trends and advancements in AI and cloud technologies; share and demonstrate learnings with the team.
• Provide technical guidance and coaching to less experienced team members.
• Participate in all phases of AI software development life cycle, including analysis, prototyping, development, evaluation, testing, deployment, refactoring, and technical support.

Minimum Qualifications

• Bachelor's degree in computer science, software engineering, or a related field.
• 1–3 years of hands‑on experience in AI solution development.
• Strong programming skills in Python or other languages commonly used in AI development.
• Substantial knowledge of AI, machine learning, and deep learning.
• Experience with AI platforms such as PyTorch or TensorFlow.
• Experience building large‑scale and/or compute‑intensive applications on clusters (HPC, Spark, Kubernetes).
• Understanding of software development principles and methodologies, including data structures, data modeling, and software architecture.
• Excellent problem‑solving skills and the ability to work in a team environment.
• Excellent verbal and written communication skills.

Preferred Qualifications

• Master's degree in computer science, data science, software engineering, or a related quantitative discipline.
• 3–5 years of hands‑on experience in AI solution development.
• Basic understanding of at least one cloud platform (Azure, AWS, GCP) and cloud‑native development tools, and experience using their AI/ML toolchain.

Qualified candidates must be able to effectively communicate with all levels of the organization.

Benefits: NYU Grossman School of Medicine offers a comprehensive benefits and wellness package including financial security benefits, a generous time‑off program, employee resource groups, and a holistic wellness program focused on physical, mental, nutritional, sleep, social, financial, and preventive care. These programs are designed to support employees at all stages of life.

NYU Grossman School of Medicine is an equal‑opportunity employer and is committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration.

Salary Range: $84,577.92 – $126,000.00 annually. Actual salaries depend on experience, specialty, education, and hospital need. The range does not include bonuses, differential pay, or other compensation.

To view the Pay Transparency Notice, please click here.

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NYU Langone Hospitals in New York is seeking an Engineer II – Applied AI. You will implement Generative AI and Machine Learning initiatives, collaborating with data scientists and IT partners to drive diverse projects.

Key responsibilities include designing AI applications, developing robust pipelines, and providing technical guidance. The position requires a Bachelor's degree in a related field and 1–3 years of experience in AI development.

Benefits include a comprehensive wellness package and competitive salary range of $84,577.92 – $126,000 annually.

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Formfactor Inc in Livermore, California is seeking a Director, Thermal Engineering to lead the development of advanced cooling solutions for probe card technologies. You'll define the technical vision and roadmaps, manage an engineering team, and drive innovation.

Ideal candidates will have a PhD or MS in Mechanical Engineering, a wealth of leadership experience, and a proven track record in thermal management. A competitive salary is offered along with a comprehensive benefits package.

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Kobie, a remote-first loyalty technology leader, is seeking a Manager of Software Engineering to guide multiple Agile squads in building scalable platform capabilities. You will partner with Product Owners, Architects, and QA to translate business needs into robust technical solutions, mentoring engineers and driving modern distributed systems.

You will lead end-to-end delivery, champion best practices, and ensure high-quality releases while fostering a collaborative culture across

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# Metocean Consultancy ManagerLocation+ Houston, Texas, United StatesStageExperienced LevelTimeFull timeTypeEmployeePlaceHybridShare this job**Job Description****COMPANY WEBSITE AD:**Fugro USA Marine, Inc., seeks Metocean Consultancy Manager. Worksite: 13501 Katy Fwy, Suite 1050, Houston, Texas 77079. Must put job code **R ** on resume.**DUTIES AND RESPONSIBILITIES**Responsible of the Consultancy division covering technical and commercial projects in oceanographic consulting, ensuring high-quality data analysis, client satisfaction, and business growth. Support the organization's reputation and success by delivering expert solutions, driving innovation, and developing new business opportunities in the metocean sector. Plan, organize, control, coordinate, motivate, delegate, and communicate to balance project cost, time, quality, benefit, and risk. Work with project scopes, schedules, budgets, and deliverables. Identify and communicate project resource needs. Ensure proper resourcing for personnel and equipment. Coordinate with Operations Manager to assign project team members. Develop/manage project documentation, including execution plans. Conduct project startup activities, including briefings and kick-off meetings. Provide accurate and timely project metrics reporting. Brief project teams and attend vessel mobilizations as needed. Coordinate with project field teams daily. Manage third-party contributions to projects. Administer contracts and manage risk and opportunities. Contribute to tenders and contract negotiations if required. Oversee project close-out, including client review meetings and final settlements. Perform other duties or special projects as assigned. Communicate with clients and internal stakeholders. Maintain productive client relationships and identify opportunities and risks. Consult with internal experts to implement best practices. Review and approve project deliverables and obtain client's acceptance. Monitor project budgets, schedules, and performance against KPls. Provide financial information for commercial reports and prepare financial forecasts. Control project budget and schedule, taking corrective actions as needed. Ensure proper financial tracking and invoicing. Provide coaching, mentoring, and development for assigned reports. Provide routing feedback to manager and HR on personnel issues such as performance, daily attendance, cooperations, technical abilities and capabilities to complete job requirements, overall cohesiveness of the team members, etc. Ensure accordance to company standards, industry standards, QHSSE policy and local regulations.**REQUIRED EDUCATION AND EXPERIENCE*** Master's degree in Oceanography.* 4 years of relevant metocean experience in all aspects of physical oceanographic and numeric modeling project management, working with contractual requirements, timescales and budgets.**Disclaimer for recruitment agencies:****Fugro does not accept any unsolicited applications from recruitment agencies. Acquisition to Fugro Recruitment or any Fugro employee is not appreciated**\*\*.\*\***Fugro USA posting Disclaimer**Fugro is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors.Individuals with disabilities needing assistance in the recruitment process are encouraged to contact Human Resources directly at or
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POSITION SUMMARY

Responsible for the operation, control, engineering, reliability, and technical planning of the electric distribution system, including substations, SCADA, GIS, system modeling, outage analysis, and compliance with engineering standards.

ESSENTIAL DUTIES AND RESPONSIBILITIES

1. Manage Substations and Distribution Operations: Oversee substation operation and maintenance as well as direct electric distribution system operations while following established control and safety procedures.
2. Lead SCADA and System Control Technologies: Manage the SCADA system, including software, hardware, communications, and ongoing development and maintenance.
3. Oversee Engineering Design and Construction Planning: Supervise the staking/design department to ensure projects meet industry and regulatory standards (RUS and NESC). Ensure required easements, rights-of-way, and access permits are obtained.
4. Maintain System Mapping and Modeling: Oversee GIS mapping for electric and broadband systems to keep network data accurate and current. Maintain the electric distribution system power-flow model for planning and analysis.
5. Monitor Reliability and Performance: Track, analyze, and report outage data. Conduct and evaluate power quality studies for both the utility system and customer facilities.
6. Establish relationships with engineering and operations staff to thoroughly understand the electric system operations, recognize challenges and identify system improvements to maintain reliability.
7. Provides Direction to technical positions within the engineering department.

POSITION REQUIREMENTS

1. A Bachelor of Science in Electrical Engineering from an ABET-accredited institution or equivalent technical education and experience is required.
2. 5 years’ relevant work experience with electric power systems.
3. Pursue and obtain a State of Colorado Professional Engineer License.
4. Strong analytical and written/verbal communication skills.
5. Possess or be able to obtain a valid Colorado Driver’s License.
6. Ability to operate computers, communication equipment, standard office equipment, and software, including Windows, Excel, Word, and PowerPoint.

WORKING CONDITIONS

1. Most activities are performed inside; however, the candidate must also be willing to work outside in all weather conditions, inside electrical substations, and extended hours when required.
2. Travel outside the system may be required.
3. Must be able to perform the activities listed in the position description.
4. Activities are performed while driving, sitting, and walking.

This job description describes the general nature of this position and is not an exhaustive list of all duties and responsibilities required in this position.

We are an Equal Opportunity Employer. All employment is decided based on qualifications and business needs.

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Location: US-CA-EL SEGUNDO-R01 ~ 2000 E Imperial Hwy ~ BLDG R01. Position Role Type: Onsite. U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Security Clearance Type: DoD Clearance: Secret. Security Clearance Status: Active and existing security clearance required on day 1.

What You Will Do:

• Lead a team of test engineers to validate Antenna (AESA) hardware.
• Specification development, trade studies, hardware integration, and test and validation.
• Possess a blend of theoretical analysis, practical application, and hands‑on integration abilities.
• Troubleshoot mechanical, electrical, and RF related issues down to the antenna subsystem component level.
• Independently solve problems and work with the system/subsystem team.
• Work with leadership to identify antenna range upgrades and repairs.
• Provide technical, schedule, and cost inputs to management.
• Domestic travel is required.

Qualifications You Must Have:

• Typically requires a Bachelor’s Degree in Science, Technology, Engineering, or Mathematics (STEM).
• 8+ years minimum experience in RF/Microwave and Antenna/AESA Test and Integration Experience leading a team of engineers by developing schedules and creating test plans based on system requirements.
• Test Development Experience in a Nearfield Range and able to architect test solutions and concepts for new programs.
• Experience troubleshooting RF/Microwave Antenna/AESA hardware, software and build/process issues down to the component levels.
• Experience with system issues associated with RF design such as Noise Figure, Linearity, S-Parameters, Antenna Gain, Antenna Directivity, Output Power, Side Lobe Levels, Rogue Oscillations, etc.
• Experience with common RF test equipment such as Network Analyzer, Spectrum Analyzers, Signal & Pulse Generators, and Oscilloscopes.
• Experienced at leading Antenna/AESA hardware integration and validation efforts necessary for sell‑off of advanced Airborne RADAR systems.
• Active and transferable US Government issued security clearance prior to the start date.
• U.S. citizenship is required as only U.S. citizens are eligible for a security clearance.

Qualifications We Prefer:

• Able to present technical results to Program Leadership and work with Cross‑Functional teams.
• Experience in Root‑Cause Corrective Action Investigations.
• Experience working in a DoD environment.
• Experience using MATLAB.
• Knowledge in antenna calibration techniques.
• Working understanding of architecture, design, and integration processes for Airborne Radar.
• Antenna integration experience in both Near and Far Field Ranges.
• Leadership experience including coaching, reviewing, and delegating work to lower-level professionals.

What We Offer:

• Salary range for this role is 118,300 USD - 224,900 USD.
• Benefits include but are not limited to medical, dental, vision, life insurance, short‑term disability, long‑term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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Prattwhitney is looking for an experienced engineer in California to lead a team of test engineers in validating advanced antenna systems. The role requires a strong background in RF/Microwave integration and the ability to execute troubleshooting at the component level.

The ideal candidate should possess a Bachelor's degree in STEM and a minimum of 8 years of experience in relevant fields. Competitive salary range between 118,300 USD and 224,900 USD, along with an attractive benefits package.

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Job Description

The purpose of this position is to provide the essential administrative processes, technical knowledge, and direction as listed. This position has oversight of a specific area, and acts as a representative of the department ensuring technical accuracy in project execution in all phases. This role has the responsibility to promote Fluor’s competitiveness within the global marketplace by delivering quality services of unmatched value and technical competence. This position serves as a technical authority on assigned projects or performs engineering assignments of any complexity.

Responsibilities:

• Translate global strategic initiatives into procedures to be implemented on projects
• Act as a leader in applying Cost Competitive Execution techniques and develop the most cost-effective total project solution for the discipline engineering work
• Develop and review project Scope of Services, Scope of Facilities, and other project baseline documents for all phases of projects
• Develop and review estimates and schedules, progress reports, including workforce forecasts
• Establish, track, and monitor material key quantities; provide analysis and forecasts
• Develop and review specifications, including design criteria
• Other duties as assigned

Basic Job Requirements

• Accredited four (4) year degree or global equivalent in engineering field of study and twenty (20) years of work-related experience; a recognized professional certification or registration in the applicable field, if required; some locations may have additional or different qualifications in order to comply with local requirements
• Ability to communicate effectively with audiences that include but are not limited to management, coworkers, clients, vendors, contractors, and other stakeholders
• Job related technical knowledge necessary to complete the job
• Ability to learn and apply knowledge of applicable local, state/province, and federal/national statutes and guidelines
• Ability to attend to detail and work in a time-conscious and time-effective manner
• Professional registration and active participation in technical society
• Advanced knowledge of discipline codes and standards, commercial availability and cost of materials
• Effort-hour estimating and staff forecasting
• Managing and leading a large project
• Project set-up, developing control-level schedules, progress reporting and project close-out
• Practical field experience
• Intermediate computer and software skills to include the use of word processing, e-mail, spreadsheet and electronic presentation programs

Other Job Requirements

Working remote with business trips is acceptable.

Preferred Qualifications

• Experience in performing structural analysis and design for nuclear facilities, including AISC N690 and ACI 349
• Experience with Steel-Concrete Composite (SCC) design
• Experience in the evaluation and design of structures for missile barrier and aircraft impact requirements
• Experience in structural seismic qualification calculations and seismic analysis per ASCE/SEI 4 and ASCE/SEI 43
• Familiarity with ASME Section III design
• Understanding of ASME NQA-1 standards for nuclear quality assurance and ability to implement and maintain quality assurance programs in compliance with ASME NQA-1 requirements
• Familiarity with US NRC regulatory requirements and standards
• Experience with ANSYS, SAP2000
• Performing hand and computer calculations for foundations, concrete, and steel structures, including in Mathcad
• Analyzing complex reinforced concrete and steel structures
• Wind and seismic loading in structural calculations
• Finite Element Modeling (FEM) and analysis

Equal Opportunity Employer

We are an equal opportunity employer. All qualified individuals will receive consideration for employment without regard to race, color, age, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, genetic information, or any other criteria protected by governing law.

Benefits Statement

Fluor is proud to offer a comprehensive benefits package designed to promote employee health, wellness, and financial security. Our offerings include medical, dental and vision plans, EAP, disability coverage, life insurance, AD&D, voluntary benefit plans, 401(k) with a company match, paid time off (personal, bereavement, sick, holidays) for salaried employees, paid sick leave per state requirement for craft employees, parental leave, and training and development courses.

Market Rate Statement

The market rate for the role is typically at the mid-point of the salary range; however, variations in final salary are determined by additional factors such as the candidate’s qualifications, relevant years of experience, geographic location, internal pay equity, and prevailing market conditions for the specific role.

Salary Range

Salary Range: $166,500.00 - $309,500.00

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Raytheon is seeking an experienced engineer in Sudbury to optimize and support power generation systems. The role requires collaboration with engineers and vendors to optimize systems based on customer requirements.

Candidates should have a degree in STEM fields and a minimum of 8 years of relevant experience. Responsibilities include troubleshooting, managing risks, and leading technical teams. Benefits include comprehensive health insurance and a 401(k) match.

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Flr Federal Solutions, LLC is looking for a senior engineer to oversee project execution and ensure technical accuracy. The role includes translating strategic initiatives into project procedures and leading efforts to develop cost-effective solutions.

The ideal candidate has a four-year engineering degree, 20 years of experience, and strong communication skills. This position allows for remote work with occasional business trips.

Fluor offers a comprehensive benefits package to promote employee health and financial security.

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## Director, Thermal EngineeringApplylocations: Livermore, CAtime type: Full timeposted on: Posted Todayjob requisition id: JR **Forming Our Future together**FormFactor, Inc. (NASDAQ: FORM), is a leading provider of essential test and measurement technologies along the full semiconductor product life cycle — from characterization, modeling, reliability, and design de-bug, to qualification and production test. Semiconductor companies rely upon FormFactor’s products and services to accelerate profitability by optimizing device performance and advancing yield knowledge. The company serves customers through its network of facilities in Asia, Europe, and North America.Rooted in our core values — Focus on the Customer, Ownership & Accountability, Respectfully & Effectively Communicate, and Motivate & Develop People — we foster an environment where diverse perspectives are not only welcomed but celebrated. Everyone can make an impact here. Whether it's improving products, supporting customers, or positively influencing peers and the community, the contributions of our people matter.**Shift:**The regular hours for this position are day shift.**Job Description:**We are seeking a **Director, Thermal** **Engineering** leader to drive the development and delivery of advanced cooling solutions for probe card technologies. This role is responsible for defining technical vision and roadmap for thermal solutions, leading multiple engineering efforts, and ensuring alignment with product, manufacturing, and business objectives.The individual will lead and scale a high-performing engineering team, develop critical capabilities, and drive innovation in cooling architectures for next generation semiconductor test systems. Success in this role requires a balance of deep domain expertise, organizational leadership, and the ability to influence across functions and levels.**Key Responsibilities:*** Lead the architecture, design, and development of cooling solutions for probe card technologies.* Define and own thermal technology strategy and multi-year roadmap aligned to business objectives.* Lead, develop, and scale a team of engineers.* Drive resource planning, prioritization, and organizational design to support product and technology goals.* Establish and track business and engineering Key Performance Indicators (KPIs) and manage development programs using Product Life Cycle (PLC) methodology.* Develop and evaluate new concepts for heat removal, temperature uniformity, and thermal stability.* Ensure organization has the technical rigor to execute development and implementation of solutions for highly complex product and engineering challenges.* Technically lead and/or execute engineering projects and spearhead research and development of new technologies, as appropriate.* Lead escalation resolution for critical product and customer issues. Interface with internal and external stakeholders to resolve complex engineering issues and meet customer commitments.* Collaborate with manufacturing to build prototypes, alpha and beta probe cards.* Drive continuous improvement across development process, manufacturability, and reliability. Own delivery of complex programs including schedule, cost, and technical performance outcomes.**Preferred Experience:*** MS or Ph.D. in Mechanical Engineering, or a related engineering field preferred; BS with significant relevant experience will also be considered.* 10+ years of relevant experience in thermal management, electronics cooling, semiconductor equipment, or related advanced product development environments.* Demonstrated success leading engineering teams in semiconductor, electronics cooling, or related industries.**Skills:**3D Modeling, Agile Systems, AutoCAD 3D, Business Acumen, Communication, Computational Fluid Dynamics (CFD), Cross-Functional Collaboration, Cross-Functional Leadership, Engineering Leadership, Error Budgets, FEA Software, Geometric Dimensioning And Tolerancing (GD&T), Heat Transfers, Interpersonal Communication, Leadership, MATLAB, Problem Solving, Product Development, Python (Programming Language), Semiconductor Manufacturing, SolidWorks, Technology Strategy Development, Thermal Management, Thermomechanical Processing**Education & Experience:**Minimum of 12+ years of relevant experience in leadership roles, with a Bachelor’s degree; or 10 years and a Master’s degree; or a PhD with 8 years experience; or equivalent experience | Required**Pay Range:**$192,400.00 - $252,525.00**Pay Range Explained:**This role in Livermore, California pays between $192,400.00 and $252,525.00 per year, depending on your experience, skills, and background. Pay may vary in other locations. We offer a full benefits package, including medical, dental, vision, life insurance, disability coverage, a 401(k) with company match, employee stock purchase plan (ESPP), and paid time off. You’ll also be eligible for quarterly profit-sharing bonuses and flexible spending or savings accounts.**Equal Employment Opportunity Statement**FormFactor is an equal opportunity employer. FormFactor complies with all national, state, and local laws that seek to promote equal opportunities for any applicant or employee without regard to age, race, color, gender, gender identity/expression, national origin, sexual orientation, religion, disability, marital status, pregnancy or related condition, military service, or any other legally protected characteristics. These protections apply to all aspects of employment, including but not limited to, recruitment, hiring, training, promotions, and compensation.
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The San Luis Valley Rural Electric Cooperative (SLVREC) is hiring a Chief Engineering and Innovations Officer (CEIO).

Why San Luis Valley?

The San Luis Valley offers a lifestyle and opportunities that urban centers can’t match: Real Connections—Escape the hustle and bustle for close-knit communities, a significantly lower cost of living, and genuine human connections. While box store shopping and entertainment are limited, you’ll experience charming local shops, a thriving art scene, Hispanic history, and ranching legacies. A genuine Colorado community experience.

Adventure at Your Doorstep—Trade your commute for world-class skiing at Wolf Creek, sandboarding at Great Sand Dunes National Park, gold‑medal fishing in the Rio Grande River, exploring endless trails, and rejuvenating in one of the local hot springs. Wildlife, public lands, and open space are common here.

Cool Sunshine—Bask in over 350 days of sunshine a year and moderate seasonal temperatures that invite year‑round activity.

Best Co‑Workers—We care about you. At SLVREC, you will lead a team dedicated to pioneering solutions, from advanced technologies to beneficial electrification programs that directly improve lives. This is your chance to lead high‑impact engineering in a place that still feels like a well‑kept secret. Applications are due by February 26th, 2026.

Job Description

The Chief Engineering & Innovation Officer (CEIO) is a key executive leadership role responsible for the overall strategic direction, planning, design, and reliable operation of the Cooperative's electrical system, while simultaneously identifying, developing, and implementing innovative technologies and business models to ensure long‑term competitiveness and value for our members. The CEIO champions a culture of safety, excellence, and continuous improvement, ensuring all engineering and innovative activities align with the Cooperative's mission, vision, values, and regulatory requirements.

Essential Duties and Responsibilities

1. Reliability—Responsible for electric system reliability and continuous improvement.
2. Planning—Lead all electric system planning and performance.
3. Department Budget—Responsible for the department's budgeting and fiscal responsibility.
4. Design—Provide project design, budgeting, and as‑built evaluation for all operation, maintenance, capital, and member‑requested projects. Preparing them for execution by the Operations Department.
5. Standards—Develop and maintain electrical system standards and standard operating procedures.
6. Innovation—Implement new technologies and processes to enhance member value and operational efficiency.
7. Collaboration—Collaborate closely with the Chief Operations Officer (COO) and other department leaders to support highly effective teams.
8. Leadership and Mentorship—Lead and mentor the engineering and technical staff, fostering a culture of technical excellence, innovation, and safety within the department.
9. System Operator Backup—Provide System Operator backup as needed and serve as a key advisor during emergencies and callouts.

Position Requirements

1. A Bachelor of Science in Engineering from an ABET‑accredited institution or equivalent technical education and experience is required.
2. 10 years’ relevant work experience with electric power systems.
3. Possess or be able to obtain a State of Colorado Professional Engineer License within 6 months of employment.
4. Strong analytical and written/verbal communication skills.
5. Possess or be able to obtain a valid Colorado Driver’s License.
6. Ability to operate computers, communication equipment, standard office equipment, and software, including Windows, Excel, Word, and PowerPoint.
7. WorkKeys: Reading for Information – 7, Applied Mathematics– 7, Locating Information - 5

Working Conditions

1. Most activities are performed inside; however, the candidate must also be willing to work outside in all weather conditions, inside electrical substations, and extended hours when required.
2. Travel outside the system may be required.
3. Must be able to perform the activities listed in the position description.
4. Activities are performed while driving, sitting, and walking.

This job description describes the general nature of this position and is not an exhaustive list of all duties and responsibilities required in this position.

We are an Equal Opportunity Employer. All employment is decided based on qualifications and business needs.

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Overview

This role leads the emerging technology space for IAM, evaluating multiple products and capabilities in support of business growth, support all critical cross functional AOP programs collaborating across business and application teams. Setup the right standards for IAM. Partner with AI team and implement IAM for AI and AI in IAM across services. Drive Non-Human Identity (NHI) discovery, visibility and remediation with central dashboards across systems and global identities.

Lead the AI Agent Security, identifying the right platforms and setting up and sustain the right solutions to embed security from start enabling trust across the enterprise AI Agent implementations. In addition, lead the AOP efforts across IAM and lead the IAM solution collaborating with relevant teams on critical global programs like One NA, IT/OT etc. Lead the innovation and emerging technology evaluations across new and existing vendors and setting up new capabilities in the IAM space to support the business growth for PepsiCo. Also expand the organization to build a central team across IAM services bringing in automation and optimization across processes.

Responsibilities

This is a highly complex role driving solutions and technology evolution for Identity and Access Management (IAM) services across the Enterprise. This role requires evaluating new capabilities and solutions across IAM, interaction with global Architecture, Cross functional, application and stake holder teams globally to delivery and solution ensuring compliance with standards. This role will require managing the solutions delivered end to end with a high focus on strategy, build, delivery and execution with some operational support including decision making aligning with leadership and key stake holders.

Additional details include:

• Lead the emerging technologies in security across all Identity and Access Management (IAM) services


• Evaluate new technologies in IAM space including conducting proof of concepts (POCs)


• Lead AI solutions for IAM services driving innovation and transformation


• Establishes AI agent security framework and roadmap that aligns with security foundations and PepsiCo’s overarching enterprise vision


• Drive technical solutions across projects and programs for IAM tools and services


• Responsible for evaluations, roadmaps, architectures of highly scalable Identity, authentication, Directory, privileged access, Non Human Identities (NHI), AI for IAM, IAM for AI, Federation and Single Sign On services involving enterprise, B2B and B2C identity requirements.


• Work closely with design and implementation engineers and drive building solutions across common IAM services


• Partner with technology and security teams across PepsiCo to provide technical expertise, design guidance and drive best practices.


• Catalog risk embedded in legacy implementations and help define the path to industry leading secure designs and services


• Create and deliver effective presentations that inform PepsiCo Leadership teams to ultimately drive business relevant information security decisions.


• Establish appropriate stakeholder relationships that facilitate improvements in the architect’s domain.


• Gather requirements and guide / recommend the right integration pattern for applications needing services, taking into consideration the impact to the environment and standards set in PepsiCo across AOP projects


• Drive technical integrations across IAM and ensure the right architecture/design is implemented in enabling the business partnering across appropriate architects and leads


• Developing general purpose services, usable by a variety of authorized systems and applications


• Interaction with application teams to gather requirements, design and deliver solution to integrate with PepsiCo IAM products


• Advocate secure computing practices and procedures and communicate Information Security best practices throughout the company.


• Ability to troubleshoot and resolve issues quickly identifying the best option in an emergency situation


• Ability to work with different teams and interact with technical and business folks across the Enterprise

Compensation and Benefits

• The expected compensation range for this position is between $132,200 - $262,400.


• Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process.


• Bonus based on performance and eligibility target payout is 25% of annual salary paid out annuallyand an additional target payout of 10% of annual salary is paid out over 3 years following the end of the performance period.


• Long term incentive equity may be awarded based on eligibility and performance.


• Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.


• In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.

Qualifications

Bachelors or master's in computer science, information security, or non-computer related degree with equivalent work experience.

• 15+ years overall IT experience


• 10+ years of information security experience with a focus in relevant IAM, SSO, MFA and PKI technologies


• 7+ years in overall security standards, policies


• 7+ years’ experience in an identity architecture role


• 3+ years working with AI and implementing solutions


• 6+ years of experience with Identity Management solutions such as CA idM, sailpoint


• 6+ years of experience with Access Management solutions such as CA SiteMinder, Okta


• 3+ years’ experience working with PKI


• 8+ years strong troubleshooting experience across application stack and architecture


• 8+ years of experience with web application management


• 5+ years of working experience with building and using scripting tools


• Advanced experience in identity life cycle management, enterprise authentication architecture and design including significant knowledge across IAM services.


• In-depth experience with defining secure and hardened information technology solutions including IAM services.


• Exceptional communication and interpersonal skills; including negotiation, facilitation, and consensus building skills; ability to influence and persuade, without direct control.


• High degree of flexibility and ability to work with employees at all levels of the organization with diverse backgrounds. Strong desire to drive change.


• Ability to balance the long-term big picture and short-term implications of decisions.


• An innovative technical mindset with a focus on architecture, strategy, and design, including emerging trends and technologies in the space


• Makes data informed decisions, finds and owns problems to closure


• Ability to guide teams through complex issues and drive resolution for issues that arise within complex and high-risk applications


• Advanced understanding of the broader impact of Information Security from a business perspective


• Experience managing global teams that include employees and vendors


• Collaborate across global teams and partner across different levels


• Drive global programs across sectors partnering with global teams


• Mentor team members


• Ability to clearly communicate thoughts and ideas in both oral and written formats.


• Self-motivated and ability to prioritize and handle tasks in a fast-paced environment


• Proven track record of achieving results through collaboration and teamwork


• Foster company success through a professional appearance, being courteous to customers and all PepsiCo associates and by having a positive attitude

EEO Statement

Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections , commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance.

All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity / Age

If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy .

Please view our Pay Transparency Statement .

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The Architecture Group Manager is accountable for management of complex/critical/large professional disciplinary areas. Leads and directs a team of professionals. Requires a comprehensive understanding of multiple areas within a function and how they interact in order to achieve the objectives of the function. Applies in-depth understanding of the business impact of technical contributions. Strong commercial awareness is a necessity. Generally accountable for delivery of a full range of services to one or more businesses/ geographic regions. Excellent communication skills required in order to negotiate internally, often at a senior level. Some external communication may be necessary. Accountable for the end results of an area. Exercises control over resources, policy formulation and planning. Primarily affects a sub‑function. Involved in short- to medium‑term planning of actions and resources for own area. Full management responsibility of a team or multiple teams, including management of people, budget and planning, to include performance evaluation, compensation, hiring, disciplinary actions and terminations and budget approval.

Responsibilities

• Strategic Leadership: Stay abreast of emerging trends in enterprise data architecture and data engineering. Identify opportunities to leverage these technologies to address business challenges within the banking industry. Contribute to the development and execution of Citigroup’s overall data strategy.
• Data Architecture and Engineering: Design and implement state‑of‑the‑art data flows, including cloud migration strategies, big data deployment plans, integrations, and supporting infrastructure. Analyze and optimize data storage, governance, and organizational needs across various business units. Develop and maintain a robust and scalable data architecture that supports Citigroup’s current and future needs.
• Technical Expertise: Strong experience defining and executing cloud‑first data architecture strategies across public and private cloud environments. Hands‑on expertise with modern data platforms (data warehouses, lakes, lakehouse architectures) and familiarity with data fabric or data mesh patterns. Proven experience in API‑driven data architecture and governance, including standards, lifecycle management, security, and reusable data services. Working knowledge of AI‑ and analytics‑ready data architectures, enabling ML, advanced analytics, and real‑time data use cases. Experience with distributed data processing technologies such as Spark, Presto/Trino, and Hadoop ecosystems.
• Team Management and Collaboration: Effectively lead and manage a geographically dispersed team of data architects and engineers. Collaborate with senior management, business stakeholders, and technical teams to gather requirements, present solutions, and drive consensus. Foster a culture of innovation, collaboration, and continuous improvement within the team.
• Communication and Influence: Possess exceptional communication and presentation skills, with the ability to articulate complex technical concepts to both technical and non‑technical audiences. Effectively communicate and present design reports to senior management and C‑level executives. Influence decision‑making and drive alignment across different stakeholders through strong diplomacy and negotiation skills.
• Risk Management and Compliance: Demonstrate a strong understanding of risk management principles and ensure compliance with relevant laws, regulations, and internal policies. Proactively identify and mitigate potential risks associated with data architecture and management.

Qualifications

• Minimum of 15 years of experience in data architecture, data engineering, or related field.
• Prior experience as Data Engineer, Data Manager, or Data Scientist is highly preferred.
• Strong understanding of data governance policies and procedures.
• Proven ability to manage complex projects and deliver results in fast‑paced environments.

Key Skills

• Strong communication, diplomacy, and stakeholder management skills.
• Excellent visual presentation and articulation skills.
• Deep understanding of data warehousing, data lakes, and data lakehouse architectures.
• Experience with data governance, data quality, and data security best practices.
• Strong analytical and problem‑solving skills.
• Working knowledge of Public Cloud ecosystem (preferably AWS or GCP).
• Hands‑on experience with Snowflake or Databricks.
• Prior experience with messaging queues like Kafka/Raven. ETL experience a plus.

Education

Bachelor’s/University degree or equivalent experience, potentially Masters degree.

This job description provides a high‑level review of the types of work performed. Other job‑related duties may be assigned as required.

Location & Compensation

Primary Location: Irving, Texas, United States

Salary Range: $156,160.00 - $234,240.00

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays.

Equal Opportunity Employer

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

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Role Description

Zoetis is the global leader in animal health, manufacturing innovative pharmaceutical products across the full spectrum of veterinary care. To secure our future and accelerate innovation, we are advancing a bold, enterprise-wide data and digital transformation, empowering faster decisions and better solutions for animals worldwide. Within Veterinary Medicine Research & Development (VMRD), we are reimagining how science is done in a digital-first world. By executing our data and digital strategy, we will unlock new value for our colleagues, Zoetis, and our customers. It’s an exciting time to join the Automation and Data Sciences (ADS) group in VMRD to lead this transformation. In close partnership with scientific, clinical, and regulatory stakeholders, this role will steward a modern R&D data ecosystem that spans data governance, FAIR data practices, advanced analytics, AI/ML, and digital lab solutions to ensure high-quality, compliant, and reusable data at scale. Success will be measured by reduced cycle times, higher data quality and traceability, increased reuse of scientific data and models, and clear impact on portfolio decisions and overall R&D productivity. The ideal candidate brings a proven record of delivering complex data and digital platforms and translating scientific needs into secure, scalable, user-centric solutions that advance our mission to deliver impactful innovations in animal health.

Essential Duties and Responsibilities

Recruit, grow, and lead high-performing teams across data engineering, data analytics, data science, and product management, fostering a culture of accountability, collaboration, and delivery excellence. Own the R&D digital strategy and portfolio, prioritizing investments against scientific objectives to sequence multi-year initiatives, maximizing value, speed, and compliance. Define and scale the R&D AI and data science strategy, focusing on high-ROI use cases with clear success criteria, change management, and measurable scientific impact. Accountable to execute on the delivery of $30M+ R&D data and digital programs, while leading cross-functional teams to deploy complex, end-to-end solutions that accelerate discovery through regulatory submission, with disciplined stage gates, risk management, and benefits realization. Own the R&D data and digital roadmap, integrating portfolio priorities with regulatory and privacy obligations (GxP, data integrity, data privacy), establishing a governance model, and ensuring audit readiness across the lifecycle. Govern and enforce a standard data architecture, metadata, and FAIR principles and implement quality controls, lineage, and stewardship to ensure trusted, compliant data at scale. Build and operationalize self-service data products and insight platforms while championing product-centric agile delivery with robust user experience, backlog hygiene, and release discipline. Partner with IT to establish a comprehensive operating model for enterprise-scale R&D platforms and data solutions, including capacity planning, SLAs, incident/problem management, vendor performance, and cost optimization to ensure reliability, scalability, and sustained value. Institutionalize outcome measurement by defining and tracking KPIs and socialize results and lessons learned to drive adoption and continuous improvement. Orchestrate cross-domain data integration from early discovery through product submission by delivering ELN/LIMS interoperability, automated experiment workflows, and standardized pipelines to improve reproducibility and throughput. Elevate organizational capabilities by launching communities of practice and training curriculum, along with embedding responsible AI practices, enabling scientists to leverage advanced tools confidently and safely.

Requirements

Education: Bachelor’s Degree in Computer Science, Computer Information Systems, Data Science, and/or equivalent training/experience in a related field.

Experience: A minimum of 8 years of experience in an information, digital, and/or data technology role delivering and supporting large scale data and digital solutions, with a minimum of 4 years managing people; 3+ years in the health sciences industry is desired.

Full time Regular Colleague

Any unsolicited resumes sent to Zoetis from a third party, such as an Agency recruiter, including unsolicited resumes sent to a Zoetis mailing address, fax machine or email address, directly to Zoetis employees, or to Zoetis resume database will be considered Zoetis property. Zoetis will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Zoetis will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor but does not have the appropriate approvals to be engaged on a search.

Notice: Zoetis Recruiters will contact candidates via email from an address ending in @zoetis.com and may also initially connect with candidates through LinkedIn, including LinkedIn InMail. Zoetis does not use Gmail, Outlook, Yahoo, or other web-based/generic email domains to communicate about job opportunities, interviews, or offers of employment. If you receive a recruitment-related email message claiming to be from Zoetis that does not come from @zoetis.com, please treat it as suspicious. For your security, do not reply, click links, open attachments, share personal or financial information, or send money in response to unexpected or questionable recruitment communications.

Zoetis is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status or any other protected classification.

Disabled individuals are given an equal opportunity to use our online application system. We offer reasonable accommodations as an alternative if requested by an individual with a disability. Please contact Zoetis Colleague Services at to request an accommodation.

Zoetis also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must possess or obtain authorization to work in the US for Zoetis. Zoetis retains sole and exclusive discretion to pursue sponsorship for the acquisition or maintenance of nonimmigrant status and employment eligibility, considering factors such as availability of qualified US workers. Individuals requiring sponsorship must disclose this fact. Please note that Zoetis seeks information related to job applications from candidates for jobs in the U.S. solely via the following: (1) our company website at site, or (2) via email to/from addresses using only the Zoetis domain of "@zoetis.com". In addition, Zoetis does not use Google Hangout for any recruitment related activities. Any solicitation or request for information related to job applications with Zoetis via any other means and/or utilizing email addresses with any other domain should be disregarded. In addition, Zoetis will never ask candidates to make any type of personal financial investment related to gaining employment with Zoetis.

Join Zoetis – and build your career with a global animal health company dedicated to supporting its customers and their businesses.

Why Zoetis Zoetis has more than 60 years of experience in delivering innovative, high-quality products and services that benefit our customers.

Zoetis work environment At Zoetis, we take pride in a collaborative spirit and high-performing environment where every colleague is given room to learn and grow.

Your opportunities at Zoetis We invest in our people and offer diverse and exciting opportunities to make a difference in a growing global industry while shaping the future of animal health.

Results that matter Our colleagues make an impact by working hand-in-hand with those who raise and care for animals to better understand and address the unique real-world challenges they face.

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Overview

The AI Observability Architect is a senior technical leader responsible for designing, deploying, and operating an enterprise-grade, production-ready AI observability platform that spans the full spectrum of modern agentic AI — from large language model (LLM) workflows and multi-agent orchestration to physical AI systems, reinforcement learning harnesses, multi-modal pipelines, and agentic marketplaces. This role serves as the strategic and engineering authority for end-to-end telemetry, tracing, safety, and quality signals across heterogeneous agent frameworks and platforms.

The architect leads the convergence of AI observability with safety & security (including red teaming), Responsible AI (RAI), data science, physical AI, memory/skills engineering, agent fleet management, self-evolving harnesses, reinforcement learning, agent-to-agent protocols (A2A, UCP, AP2), and continuous quality engineering — making this a uniquely broad and high-impact role within the AI Solutions & Platforms organization.

The role also owns OpenTelemetry (OTEL) integration across third-party agentic platforms (Salesforce AgentForce, ServiceNow, Microsoft Agent 365, and others), enabling unified observability and governance at enterprise scale.

Responsibilities

Agentic AI Observability Architecture at Scale (30%)

• Define and own the enterprise observability architecture for AI agents, LLMs, multi-agent workflows, and physical AI systems — covering planner/executor loops, tool/function calls, RAG retrieval chains, and memory/state transitions.
• Build and operate unified telemetry pipelines incorporating metrics, logs, distributed traces, semantic/vector signals, and real-time event streaming (Kafka) at enterprise scale.
• Instrument OpenTelemetry (OTEL) across heterogeneous platforms including Salesforce AgentForce, ServiceNow, Microsoft Agent 365, and internal frameworks — delivering protocol-level observability for agent ecosystems including MCP, A2A, UCP, and AP2.
• Design and implement observability for Agent Fleets, multi-modal pipelines, physical AI systems, and self-evolving reinforcement learning harnesses — including signal capture for reward shaping and policy evaluation.
• Deliver dashboards, alerting, SLO/SLA management, incident runbook automation, and RCA tooling that drive measurable reliability improvements and reduce MTTR across agentic services.
• Establish cost telemetry and FinOps observability for AI workloads — token consumption, inference cost allocation, and GPU/compute efficiency across cloud environments (Azure, AWS, GCP).

Safety, Security & Red Teaming (15%)

• Lead observability-driven red team exercises targeting agentic AI systems — instrumenting attack surfaces, adversarial prompt injection vectors, model evasion attempts, and multi-agent trust boundary failures.
• Design telemetry pipelines that capture safety-critical signals: guardrail trigger rates, policy violation events, PII exposure risks, prompt leakage, and agent hallucination rates.
• Partner with Security and RAI teams to embed threat modeling, zero-trust agent authentication, and behavioral anomaly detection into the observability platform.
• Instrument secure policy enforcement layers across agent-to-agent communication protocols (A2A, UCP, AP2) and maintain audit-ready traceability for all AI decision events.
• Develop and maintain a Security Observability Playbook covering incident classification, escalation paths, and forensic trace retention policies for agentic AI systems.

Responsible AI (RAI) & Governance (10%)

• Integrate RAI signal capture — fairness, bias detection, explainability, and safety metrics — directly into observability pipelines, making compliance measurable and audit-ready.
• Deliver governance dashboards that surface RAI compliance posture across all active AI agents and LLM deployments, aligned with global regulatory standards.
• Support risk assessments, gap analyses, and governance frameworks with real-time observability insights — enabling proactive risk mitigation rather than reactive audit responses.
• Collaborate with RAI CoE and Legal/Compliance teams to define data retention, consent logging, and model decision traceability standards embedded in the telemetry architecture.

Quality Engineering for Agentic Solutions — Post Go-Live & Continuous QE (10%)

• Own the Continuous Quality Engineering (CQE) framework for post-production agentic solutions — defining and tracking quality metrics across accuracy, latency, agent success rate, tool-call fidelity, and user outcome measures.
• Build automated quality gates within CI/CD pipelines that leverage observability data to detect regressions, drift, and degradation in agent performance — preventing silent failures in production.
• Instrument and monitor Skill Evaluations (evals) across the Memory, Skills, and MCP harness stack — providing traceability from eval results to production behavior.
• Partner with product and business stakeholders to define SLA-backed quality benchmarks and deliver automated alerting when quality thresholds are breached.
• Drive root-cause analysis for quality failures using distributed trace data, enabling rapid iteration and continuous improvement cycles for agentic solutions.

Memory, Skills, MCP & Harness Engineering Observability (10%)

• Design and implement observability for the agent memory layer — episodic, semantic, and working memory read/write operations — providing latency, accuracy, and drift monitoring across memory backends.
• Instrument MCP (Model Context Protocol) server interactions, tool registrations, skill invocations, and context injection pipelines with full trace propagation and semantic tagging.
• Own observability for self-evolving harness and reinforcement learning (RL) systems — capturing reward signals, policy update events, environment state transitions, and learning convergence metrics.
• Monitor harness execution fidelity, skill eval pass/fail rates, and regression signals across training, fine-tuning, and inference workflows — feeding data back into the quality engineering loop.

Data Science Observability & Hardcore Python Engineering (5%)

• Lead a team of senior Python engineers building high-performance, production-grade observability tooling — including custom OTEL exporters, semantic trace enrichers, signal aggregators, and anomaly detection pipelines.
• Apply data science methods — statistical process control, time-series anomaly detection, clustering, and causal inference — to transform raw telemetry into actionable AI operational intelligence.
• Build and maintain Python-native SDKs and libraries that simplify observability onboarding for agent developers across the organization.
• Establish code quality standards, testing frameworks, and peer review practices for the observability engineering team — embedding software craftsmanship into the team culture.

Agentic Marketplace, Registry & Ecosystem Observability (5%)

• Instrument the Agentic Marketplace and Agent Registry platforms — providing usage telemetry, adoption metrics, capability health scores, and dependency mapping for registered agents and skills.
• Design observability APIs and SDK hooks that allow marketplace-registered agents to self-report health, performance, and behavioral signals into the central observability platform.
• Monitor inter-agent communication patterns across the marketplace ecosystem — identifying latency hotspots, circular dependencies, and protocol mismatches in agent-to-agent (A2A) workflows.
• Deliver a Marketplace Observability Dashboard surfacing agent catalog health, adoption trends, quality scores, and incident history — supporting marketplace governance and curation decisions.

Integration, Deployment & CI/CD Automation (5%)

• Build and maintain CI/CD pipelines for observability services and agent operations center components, incorporating automated testing, deployment gates, and rollback mechanisms.
• Automate onboarding for new agent use cases using templates, scaffolding, and configuration validation — reducing time-to-observability from weeks to hours.
• Drive infrastructure-as-code (IaC) practices for observability platform components across Azure, AWS, and GCP — ensuring reproducible, version-controlled, and auditable deployments.

Product Delivery & Stakeholder Collaboration (10%)

• Operate with a product mindset — defining observability platform roadmaps, OKRs, adoption playbooks, and release milestones in partnership with AI platform and business teams.
• Collaborate with transformation teams, enterprise architects, security, and business stakeholders to tailor observability solutions to domain-specific requirements.
• Serve as the technical authority in executive and governance forums — translating complex observability data into business-relevant insights on risk, cost, and AI performance.
• Partner with SRE, AI platform, and product teams to drive standard adoption and reduce integration friction across the agentic AI ecosystem.

People Leadership & Team Development (5%)

• Build, mentor, and lead a high-performing observability engineering team — spanning Python developers, data scientists, and platform engineers — with talent initially based in India.
• Define career paths, skills development plans, and leveling criteria aligned with PepsiCo job architecture — fostering an inclusive, high-accountability team culture.
• Drive hiring, coaching, performance management, and succession planning across the observability function.

Decision-Making Autonomy

• High — Owns architecture decisions, platform roadmap, and engineering standards. Strategic alignment sought from AI Solutions Director on enterprise-level commitments.

Supervision Required

• Low to Moderate — Operates independently with periodic alignment reviews. Proactively escalates cross-organizational dependencies and risk trade-offs.

Role Complexity

• Very High — Spans observability, safety/security, RL harnesses, physical AI, multi-modal systems, agent protocols, quality engineering, and marketplace governance simultaneously

Compensation and Benefits:

• The expected compensation range for this position is between $123,500 - $206,750.
• Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process.
• Bonus based on performance and eligibility target payout is 15% of annual salary paid out annually.
• Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement.
• In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.

Qualifications

Minimum Education & Experience:

• Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, Software Engineering, or a related field (PhD a plus for research-heavy domains).
• 12+ years in technology with deep experience in enterprise observability, distributed systems, platform engineering, or AI/ML infrastructure.
• 5+ years in a senior/principal or architect-level role with demonstrated ownership of complex, cross-functional technical programs.

Core Technical Qualifications

• AI Observability & Distributed Systems: Expert-level knowledge of observability primitives (metrics, logs, traces, events) applied to LLM/ML/agentic systems; hands-on OpenTelemetry (OTEL) instrumentation including custom exporters, semantic conventions, and trace propagation across agent/tool boundaries.
• Agentic AI Frameworks: Direct experience with agentic AI platforms, multi-agent orchestration, LLM-based workflow design, and agent lifecycle management at production scale.
• Safety, Security & Red Teaming: Demonstrated experience conducting red team exercises against AI systems; knowledge of adversarial attack patterns, prompt injection, model evasion, and multi-agent trust boundary failures; ability to design safety telemetry pipelines.
• Memory, Skills & MCP: Working knowledge of agent memory architectures (episodic, semantic, working memory), Model Context Protocol (MCP), skill registries, and context injection patterns — with ability to design observability for these layers.
• Agent-to-Agent Protocols: Familiarity with A2A (Agent-to-Agent), UCP (Universal Communication Protocol), and AP2 patterns; ability to implement protocol-level observability and policy enforcement.
• Reinforcement Learning & Self-Evolving Harnesses: Understanding of RL training loops, reward signal capture, policy evaluation, and harness instrumentation for continuously improving agent systems.
• Physical AI & Multi-Modal Systems: Experience or strong familiarity with observability for physical AI pipelines (robotics, edge inference, sensor fusion) and multi-modal models (vision, audio, text).
• Data Science & Python Engineering: Proficiency in Python at a senior engineering level; experience with statistical anomaly detection, time-series analysis, and data pipeline design applied to observability data at scale.
• Platform Integrations (OTEL / Enterprise): Hands-on experience integrating OTEL with enterprise agentic platforms including Salesforce AgentForce, ServiceNow, Microsoft Agent 365, or similar; strong understanding of enterprise integration patterns and API design.
• Cloud & Infrastructure: Cloud fluency across Azure, AWS, and GCP; proficiency in Kubernetes, service mesh, IaC (Terraform/Bicep), and CI/CD tooling; experience with event streaming platforms (Kafka, Event Hubs).
• Quality Engineering for AI: Experience designing continuous quality frameworks (CQE) for agentic solutions including eval harnesses, regression detection, quality gates, and SLA-backed quality benchmarking.
• Responsible AI (RAI): Familiarity with RAI principles — fairness, bias detection, explainability, and safety — and ability to operationalize RAI signal capture within production observability pipelines.
• Agentic Marketplace & Registry: Experience or strong familiarity with agent marketplace architectures, capability registries, and platform governance — ideally with observability or monitoring responsibilities for marketplace-registered components.

Preferred / Differentiating Technical Skills

• Published contributions or hands-on experience with emerging agent frameworks (LangGraph, AutoGen, CrewAI, Semantic Kernel, Bedrock Agents, or equivalent).
• Experience with Grafana, Datadog, New Relic, Dynatrace, or equivalent enterprise observability platforms — ideally extended to support AI/LLM workloads.
• Familiarity with vector databases (Pinecone, Weaviate, pgvector) and semantic search observability patterns relevant to RAG pipelines.
• Background in MLOps, LLMOps, or model lifecycle management — including model versioning, drift detection, and deployment governance.
• Experience designing observability APIs and SDK hooks for developer self-service onboarding.
• Differentiating Competencies Required - Translates enterprise AI strategy into observability architecture that simultaneously enables governance, safety, quality, and scale — holding the full picture across deeply technical and business dimensions.
• Safety-First Engineering Mindset - Instinctively designs systems with security, adversarial resilience, and RAI compliance as first-class requirements — not retrofitted features. Leads red team exercises with intellectual rigor and operational discipline.
• Outcome & Quality Orientation - Drives measurable impact: reduced MTTR, audit readiness, SLA adherence, agent quality scores, and RL harness convergence — translating telemetry data into business-relevant results.
• Cross-Functional Influencing - Navigates complex organizational dynamics — aligning engineering, governance, security, data science, and business units around shared observability standards and practices.
• Governance by Design - Integrates RAI, compliance, and security controls into design decisions from inception — producing systems that are audit-ready by default, not by remediation
• Technical Leadership Presence - Commands credibility in both executive and deep-technical forums; able to shift fluidly between C-suite communication and whiteboard architecture sessions with engineers.
• Adaptability & Continuous Learning - Thrives in a rapidly evolving AI landscape; quickly absorbs and operationalizes new frameworks, protocols, and research — from emerging agent communication standards to novel RL paradigms.
• Python Engineering Excellence - Holds a high bar for Python code quality, software craftsmanship, testing discipline, and developer experience — modeling best practices for the engineering team.

Our Company will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Credit Reporting Act, and all other applicable laws, including but not limited to, San Francisco Police Code Sections , commonly referred to as the San Francisco Fair Chance Ordinance; and Chapter XVII, Article 9 of the Los Angeles Municipal Code, commonly referred to as the Fair Chance Initiative for Hiring Ordinance.All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity / AgeIf you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy .Please view our Pay Transparency Statement .

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Title: Java Full Stack + AI Lead

Domain: Banking / Finance

Location: Dallas, TX - 3 days a week, Day one onsite. (Look for Local Candidates or those who are ready to relocate)

Employment type: FTE or C2H

Java / Spring Boot / Angular Technical Lead

• Lead Full-Stack application development projects using Java, Spring Boot, Microservices, and Angular while providing technical leadership across the entire SDLC.
• Serve as a Technical Lead responsible for solution design, architecture reviews, technical decision-making, code reviews, engineering standards, and mentoring development teams.
• Proven experience leading and coordinating globally distributed onshore-offshore teams, managing delivery commitments, stakeholder communication, resource planning, and cross-functional dependencies.
• Strong hands-on expertise in Core Java, Advanced Java, Java 8+, Collections Framework, Multithreading, Concurrency, Exception Handling, JVM concepts, and Object-Oriented Design principles.
• Extensive experience with Spring Framework, Spring Boot, Spring MVC, Spring Data JPA, Hibernate, Dependency Injection, Spring Batch, Spring JMS, and enterprise application development.
• Design, develop, and support RESTful APIs, Microservices, distributed systems, and scalable service-oriented architectures following modern design patterns and best practices.
• Strong understanding of application security, performance optimization, resiliency, fault tolerance, production support, troubleshooting, and root-cause analysis.
• Hands-on experience with Angular including Components, Modules, Services, Routing, Dependency Injection, Lifecycle Hooks, Reactive Forms, RxJS, and reusable UI component development.
• Experience implementing front-end authentication and authorization using OAuth2, OIDC, JWT tokens, Role-Based Access Control (RBAC), Route Guards, and secure session management.
• Strong knowledge of Local Storage, Session Storage, Angular Interceptors, API security, centralized error handling, request/response processing, and front-end security best practices.
• Experience developing Custom Directives, reusable Services, state management solutions, API integrations, and performance-optimized Single Page Applications (SPA).
• Strong experience with relational databases such as MySQL, PostgreSQL, including data modeling, query optimization, performance tuning, and database integration; exposure to NoSQL databases is preferred.
• Hands-on experience with messaging and event-driven architectures using Kafka, RabbitMQ or similar middleware technologies.
• Experience with cloud platforms such as Pivotal Cloud Foundry, GCP, AWS along with containerization technologies including Docker and Kubernetes.
• Strong understanding of CI/CD, DevOps, and release management practices using Jenkins, Git, GitHub, Maven, Gradle, Harness, automated deployment pipelines, and environment management.
• Experience with application monitoring and observability tools such as Splunk, AppDynamics, logging frameworks, and production monitoring solutions.
• Hands-on experience with unit testing, integration testing, API testing, JUnit, Mockito, WireMock, Selenium, TestNG, and BDD/TDD practices to ensure high-quality software delivery.
• Excellent communication, leadership, stakeholder management, problem-solving, and team-building skills with the ability to balance hands-on technical contributions and delivery leadership.

Flexible work from home options available.

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If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Full Time Bellevue, WA, US

3 days ago Requisition ID: 1193

Salary Range: $176,000.00 To $220,000.00 Annually

Cytek Biosciences is seeking an experienced Principal System Architect - Instrument to define and guide the architecture of next-generation flow cytometry platforms. This role is responsible for translating customer, application, and business needs into robust instrument designs, with particular focus on subsystem architecture, system reliability, and cross-functional execution with global teams and suppliers, including partners in China. This role is ideal for a professional who has worked with Class I, II, or III devices (including 510(k) cleared products) and thrives in environments undergoing cGMP and design control maturation.

Key Responsibilities:

• Own the end-to-end system architecture for flow cytometry instruments, ensuring strong integration of fluidics, optics, electronics, software, and serviceability requirements.
• Define system requirements, interface specifications, and performance budgets to balance performance, reliability, manufacturability, cost, and scalability.
• Lead architecture decisions for fluidics subsystems, including sample handling, sheath flow, flow cell design, clog resistance, and contamination control.
• Drive reliability engineering activities, including failure mode analysis, reliability risk assessment, root cause analysis, corrective actions, and long-term robustness improvements.
• Establish and track system-level reliability goals such as uptime, MTBF, failure rates, maintenance intervals, and field performance metrics.
• Collaborate closely with R&D, quality, manufacturing, service, and NPI teams to ensure design choices support product reliability and lifecycle performance.
• Work directly with internal teams and suppliers in China to align on technical requirements, resolve issues, support qualification, and drive on-time execution.
• Participate in supplier development, design reviews, risk mitigation, and technical issue resolution with global and China-based partners.
• Guidesubsystem teams through integration, verification, and validation activities, ensuring robust performance under real-world use conditions.
• Support design for manufacturability, serviceability, and supply chain resilience.
• Provide technical leadership and mentorship across engineering teams.

Qualifications:

• Ph.D. or M.S. in Mechanical Engineering, Bioengineering, Physics, or related field.
• 8+ years of experience developing complex analytical, diagnostic, or life science instrumentation.
• Demonstrated experience in system architecture and cross-functional technical leadership.
• Strong understanding of fluidics systems, including flow control, microfluidics, particle transport, and contamination mitigation.
• Experience with reliability engineering methods such as FMEA, fault tree analysis, root cause analysis, and reliability growth.
• Strong troubleshooting skills and a bias toward root cause resolution and preventive action.
• Direct experience with Class I, II, or III medical devices, including 510(k) cleared products
• Experience operating in or helping build a cGMP-compliant environment
• Ability to translate customer and product needs into clear engineering requirements and trade-offs.
• Strong communicator who can teach, coach, and influence without formal authority
• Hands-on problem solver who enjoys working on the production floor as well as in documentation systems
• Ability to travel internationally (up to 20%) to support global manufacturing and cross-site collaboration

Preferred Experience:

• Direct experience with flow cytometer, fluidic subsystems, or closely related technologies such as hematology analyzers, cell sorters, or microfluidic diagnostic systems.
• Experience in designing for high reliability, field performance, and serviceability in regulated instruments.
• Familiarity with optical detection systems, fluorescence, and signal acquisition.
• Professional workingproficiencyin MandarinChinese
• Hands-on experience coordinating with China- and APAC-based engineering and operations teams.
• Experience working with suppliers, contract manufacturers, or development partners in China.
• Experience in regulated environments such as ISO 13485 and FDA design controls.
• Proficiencywith modeling, simulation, or data analysis tools such as CFD, MATLAB, or Python.

PHYSICAL DEMANDS AND WORK ENVIRONMENT:

The physical demands described here are representative of those that an employee must meet to perform the essential functions of this job successfully.Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

• Prolonged periods of sitting and standing

Cytek is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, gender identity, sexual orientation, national origin, genetic information, disability status, veteran status, or any other characteristic protected by law.

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Micron Technology seeks a Senior/Principal SMTS in High-speed IO/Clocking Design Engineering to join our Boise, Idaho team. Relocation to Micron's Boise campus is required, with a focus on defining, designing and verifying IO and clocking circuits for next-generation DRAM products.

You will collaborate with Product Engineering, SI and process integration teams, mentor engineers, and drive robust design practices, timing and jitter analysis, and full-chip verification across product types.

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Job Description: Senior Technical Manager

Overview

We are seeking a highly capable, hands-on Technical Leader who can operate as both an onsite technical lead and a seasoned full-stack engineer. The ideal candidate is an expert in modern JavaScript/TypeScript-based architectures with strong proficiency in React on the front end and NestJS and/or Python on the back end. This individual must demonstrate strong communication skills, high technical ownership, and the ability to guide engineering teams in delivering scalable, high-quality software solutions.

Experience in media, content, marketing intelligence, audience engagement, or similar ecosystems (e.g., organizations comparable to BrightTalk, Informa, TechTarget, BrightEdge) is advantageous but not required.

Key Responsibilities

Technical Leadership

• Serve as the onsite technical lead, providing architectural guidance, technical oversight, and hands-on development support across multiple workstreams.
• Define and uphold engineering best practices, coding standards, and design patterns for full-stack development.
• Lead solution design sessions; translate business requirements into scalable technical architectures and implementation plans.
• Drive technical decision-making related to system design, frameworks, security, integrations, data flows, and cloud infrastructure.
• Collaborate closely with Product, Design, Data, DevOps, and QA teams to ensure delivery quality and cross-functional alignment.

Team Management and Mentorship

• Manage, mentor, and elevate engineers of varying levels, fostering a culture of continuous learning and accountability.
• Provide structured technical coaching, code reviews, and career development guidance.
• Facilitate transparent communication across distributed teams, ensuring clarity of scope, delivery expectations, and technical direction.

Full-Stack Engineering

• Contribute directly to codebases, particularly in areas of complex feature development, architectural frameworks, and performance optimization.
• Develop and maintain scalable front-end applications using React, TypeScript, state management frameworks, and modern component architectures.
• Build and maintain back-end services and APIs in NestJS and Python, including microservices, asynchronous processing, and service orchestration.
• Ensure system resiliency, security, and performance through rigorous engineering standards.

Delivery and Execution

• Lead technical planning and estimation during roadmap and sprint planning cycles.
• Identify and mitigate technical risks, dependencies, and architectural constraints.
• Establish metrics and observability practices to monitor system health and performance.
• Partner with project and product leadership to ensure predictable, high-quality delivery.

Required Qualifications

• 10+ years of professional software engineering experience with 4+ years in a senior technical leadership capacity.
• Proven expertise in React, TypeScript, modular UI architectures, and modern front-end tooling.
• Proven expertise in NestJS, Node.js, or Python back-end frameworks.
• Strong understanding of relational and non-relational databases, caching strategies, and data modeling.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP), CI/CD pipelines, and containerization.
• Demonstrated success leading engineering teams or technical initiatives in mid-size or enterprise environments.
• Excellent communication skills with the ability to translate complex technical concepts to diverse stakeholders.
• Strong problem-solving skills, ownership mindset, and a collaborative working style.

Preferred Qualifications

• Experience in MediaTech, Content Marketing, Audience Intelligence, Digital Publishing, or related industries. (Optional)
• Familiarity with systems supporting content delivery, personalization, SEO, analytics, or audience engagement workflows.
• Exposure to data engineering, ML-driven recommendations, or search technologies.
• Prior experience modernizing legacy systems or leading large-scale platform transformations.

What We Offer

• The opportunity to shape technical direction and drive engineering excellence within a high-impact environment.
• A role that combines leadership, architecture, and deep hands-on engineering.
• Collaborative cross-functional culture with strong executive support for technical innovation.
• Competitive compensation, benefits, and opportunities for career advancement.

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