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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Manager, Data/AI Solution Architect - **Company:** Gilead Sciences Inc. - **Location:** Foster City, CA, United States - **Experience:** Expert - **Salary:** $169,320.0 - $219,120.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Automated Storage and Retrieval Systems, Computer Programming, Information Engineering, Enterprise Content Management, Python (Programming Language), Machine Learning, Performance Tuning, Software Product Management, Tensorflow, Management of Software Versions, Enterprise Data Management, Privacy Controls, Large Language Models, Prompt Engineering, Generative AI, AI Platforms, Data Analytics, Machine Learning Operations, Data Pipelines - **Published:** September 24, 2026 - **Apply:** https://gilead.wd1.myworkdayjobs.com/gileadcareers/job/United-States---California---Foster-City/Sr-Manager--Data-AI-Solution-Architect_R0054815-1 ## About the Role Bachelor's Degree and Eight Years' Experience OR 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). * 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. ## 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. ## Related Videos - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Supercharge your cloud-native applications with Generative AI](https://www.wearedevelopers.com/videos/950-supercharge-your-cloud-native-applications-with-generative-ai) - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) ## Related Articles - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Got AI ideas but no money? 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