Senior Architect, Solutions Engineering

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.

We are seeking a Senior Architect, Intelligent Solutions who thrives in a hybrid role that blends technical leadership with hands‑on delivery. In this role, you will serve as the technical lead for contractor engineering teams, own delivery outcomes for your function within cross‑functional initiatives, and remain deeply engaged in the work itself, contributing to architecture, solution design, and complex problem‑solving.

You will oversee a portfolio of clinical solutions spanning both modern, AI‑powered capabilities, including generative AI, LLMs, and intelligent automation, and production business applications. Bringing deep, practical experience applying AI across the full development lifecycle, you will leverage AI‑powered development assistants to accelerate ideation, design, coding, testing, and troubleshooting.

You will expand your leadership impact by partnering closely with stakeholders, data scientists, and engineers while continuing to work hands‑on with systems that deliver measurable improvements in clinical development workflows and decision‑making.

• Architect, design, and deliver AWS cloud‑native solutions across AI/ML capabilities and enterprise business applications.
• Lead the implementation of Generative AI solutions, including retrieval‑augmented generation (RAG), agentic workflows, and LLM‑integrated systems.
• Drive adoption of AI‑augmented development practices, including design acceleration, code generation and review, test automation, and debugging.
• Serve as the primary technical authority for assigned capabilities, making architectural decisions across APIs, data platforms, frontend, infrastructure, and AI tooling.
• Lead technical delivery across onshore and offshore contractor teams, ensuring predictable planning, execution quality, and delivery outcomes.
• Mentor and coach engineers through hands‑on guidance, pair programming, code reviews, and knowledge sharing.
• Partner with data science, business, quality, and regulatory stakeholders to align architecture and delivery with program milestones and compliance needs.
• Prototype and validate new capabilities, particularly Generative AI features, to reduce risk before broader team investment.
• Define and execute a technical roadmap aligned with business priorities and R&D Information Systems strategy.
• Oversee production reliability, operational support, and continuous improvement across Dev Ops and engineering practices.

• BA/BS with at least 8 years of experience, MA/MS/MBA with at least 6 years of experience, OR PhD with at least 2 years of experience.
• Strong experience in architecture and system design for scalable, cloud‑native applications.
• Demonstrated ability to provide cross‑functional technical leadership and own delivery outcomes.
• Practical experience using AI‑powered development tools to accelerate design, implementation, and troubleshooting.
• Working knowledge of Generative AI concepts, including LLMs, prompt and context engineering, and agent‑based…