Job description

At Gilead, we’re creating a healthier world for all people. For more than 35 years, we’ve tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer – working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world’s biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead’s team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we’re looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description As part of Gilead’s enterprise AI strategy to accelerate insights and decision‑making, we are seeking an Sr Manager, Data/AI Solution Architect to lead the design of Data and AI solutions across the HR & LCCR Functions. In this role, you will partner closely with business stakeholders, and Data/AI Product Owners, Technical Delivery Leads and Platform Leads to determine the right solution architecture for predictive analytics and AI‑driven insights. You will drive technical excellence through architectural design, modeling approach, and platform selection—ensuring scalable solutions, aligned to Gilead standards, that translate complex digital needs into actionable insights. This position will report to the Director, Data/AI and is based in Foster City, CA (hybrid‑eligible). Key Responsibilities: Solution design & delivery: Partner with function business process leads across HR, Compliance, and Legal to assess needs and translate them into practical AI solution designs and serve as the technical lead across solutions. Model development & tuning: Build, fine-tune, and evaluate AI/LLM models grounded in policy, procedural, and regulatory requirements, and adaptable to Gilead-specific content, internal materials, and approved templates. Knowledge base engineering: Design and maintain retrieval-augmented (RAG) knowledge bases incorporating authoritative external guidance, corporate policy libraries, compliance frameworks and codes of conduct, and Gilead-specific documentation. Review & workflow automation: Develop reusable capabilities for document review, summarization, consistency and policy-alignment checking, citation accuracy, and risk flagging — with traceable citations back to source content. Data pipelines: Engineer secure, scalable ingestion and processing pipelines for diverse content types across enterprise support functions, including policy and procedure documents, employee-facing communications, training and enablement materials, internal narratives, external publications, and structured business records. Delivery through extended teams: Direct execution through engineers, vendor partners, and shared platform resources — setting technical direction, reviewing designs, ensuring quality, and driving solutions to production at a scale beyond individual delivery. Evaluation & quality: Establish evaluation frameworks, accuracy benchmarks, guardrails, and human-in-the-loop validation to ensure trustworthy, defensible, and auditable outputs. Stakeholder collaboration: Act as the bridge between business stakeholders and AI delivery — converting functional review and knowledge-work needs into trusted, auditable solutions that reduce cycle time and organizational risk. Drive adoption, enablement, and change management. Governance: Ensure solutions meet data privacy, confidentiality, security, and responsible-AI standards, with role-based access appropriate to sensitive enterprise content. MLOps: Implement model deployment, monitoring, versioning, and continuous improvement practices, and establish reusable architecture standards and delivery patterns across the portfolio. Basic Qualifications: Bachelor s Degree and Eight Years’ Experience OR Master s Degree and Six Years’ Experience Preferred Qualifications: 5 years of experience in AI/ML engineering, with hands-on work building LLM/generative-AI applications (fine-tuning, RAG, prompt engineering). Strong programming skills in Python and modern ML frameworks. Experience designing knowledge bases and retrieval systems over large structured and unstructured sources. Experience with AWS cloud AI platforms and MLOps tooling. Solid data engineering fundamentals: pipelines, data modeling, and large-scale processing. Experience delivering a portfolio of solutions across multiple business functions, including leading delivery through engineering teams and external partners. Experience in pharmaceutical, biotech, life sciences, or other highly regulated industries. Familiarity with Tech policies, compliance, and governance workflows in a regulated enterprise environment. Experience with enterprise context build and automation Experience handling confidential and sensitive enterprise data, including HR and Legal with appropriate privacy controls. Experience with responsible AI, model governance, and validation in regulated environments. The salary range for this position is: Bay Area: $169,320.00 - $219,120.00. Raleigh: $146,200.00 - $189,200.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans*. For additional benefits information, visit: gilead.com * Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans. For jobs in the United States: Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex , age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact ApplicantAccommodations gilead.com for assistance. For more information about equal employment opportunity protections, please view the Know Your Rights poster. NOTICE: EMPLOYEE POLYGRAPH PROTECTION ACT YOUR RIGHTS UNDER THE FAMILY AND MEDICAL LEAVE ACT Gilead Sciences will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, (c) consistent with the legal duty to furnish information; or (d) otherwise protected by law. Our environment respects individual differences and recognizes each employee as an integral member of our company. Our workforce reflects these values and celebrates the individuals who make up our growing team. Gilead provides a work environment free of harassment and prohibited conduct. We promote and support individual differences and diversity of thoughts and opinion. For Current Gilead Employees and Contractors: Please apply via the Internal Career Opportunities portal in Workday.

Requirements

Must-haves

Model development & tuning: Build, fine-tune, and evaluate AI/LLM models grounded in policy, procedural, and regulatory requirements, and adaptable to Gilead-specific content, internal materials, and approved templates.
Evaluation & quality: Establish evaluation frameworks, accuracy benchmarks, guardrails, and human-in-the-loop validation to ensure trustworthy, defensible, and auditable outputs.
Governance: Ensure solutions meet data privacy, confidentiality, security, and responsible-AI standards, with role-based access appropriate to sensitive enterprise content.
MLOps: Implement model deployment, monitoring, versioning, and continuous improvement practices, and establish reusable architecture standards and delivery patterns across the portfolio.
Bachelor s Degree and Eight Years’ Experience
Master s Degree and Six Years’ Experience
5 years of experience in AI/ML engineering, with hands-on work building LLM/generative-AI applications (fine-tuning, RAG, prompt engineering).
Bay Area: $169,320.00 - $219,120.00.
Raleigh: $146,200.00 - $189,200.00.
Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans.
For more information about equal employment opportunity protections, please view the Know Your Rights poster.
YOUR RIGHTS UNDER THE FAMILY AND MEDICAL LEAVE ACT
Our environment respects individual differences and recognizes each employee as an integral member of our company. Our workforce reflects these values and celebrates the individuals who make up our growing team.
Gilead provides a work environment free of harassment and prohibited conduct. We promote and support individual differences and diversity of thoughts and opinion.

Nice-to-haves

Strong programming skills in Python and modern ML frameworks.
Experience designing knowledge bases and retrieval systems over large structured and unstructured sources.
Experience with AWS cloud AI platforms and MLOps tooling.
Solid data engineering fundamentals: pipelines, data modeling, and large-scale processing.
Experience delivering a portfolio of solutions across multiple business functions, including leading delivery through engineering teams and external partners.
Experience in pharmaceutical, biotech, life sciences, or other highly regulated industries.
Familiarity with Tech policies, compliance, and governance workflows in a regulated enterprise environment.
Experience with enterprise context build and automation
Experience handling confidential and sensitive enterprise data, including HR and Legal with appropriate privacy controls.
Experience with responsible AI, model governance, and validation in regulated environments.

Application prep

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Keywords to mirror

aillmmlpythonaws

Platform: workday
Effort: long

Benefits

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Dental

Vision

Paid Time Off