Overview The Senior Director of Applied AI Engineering has a critical leadership role within Team ARC (AI Research Center), Gilead’s Center of Excellence for AI and advanced analytics. ARC operates within the Clinical Data Science (CDS) organization, which is part of the broader Drug Development organization led by the Chief Medical Officer. The Senior Director of Applied AI Engineering will lead the development and deployment of advanced AI applications within Gilead’s drug development portfolio. This leader will focus on translating AI research—particularly in generative AI, LLMs, and autonomous agents—into scalable, production-ready tools. They will drive collaboration across clinical operations, regulatory, medical writing, and RWE, working closely with peers in AI Acceleration (AIx), Delivery & Product Management Experiences (DPMx), IT, and Development Systems (DevSys).

Qualifications, skills, and all relevant experience needed for this role can be found in the full description below. Key Responsibilities Innovate and deliver: design, deploy, and maintain machine learning and generative AI systems that address real-world challenges in drug development (e.g., trial optimization, regulatory authoring, medical review automation). Translate cutting-edge research into practical tools that impact the business. Cross-functional collaboration: partner with AIx and DPMx to define, build, and integrate AI-powered solutions into key processes. Engage with IT and DevSys to ensure secure, scalable infrastructure and seamless handoffs from prototyping to production. Technical strategy and execution: architect and optimize AI/ML pipelines across model training, inference, and monitoring. Define engineering best practices for LLMOps and applied AI across therapeutic areas. Team leadership and culture: build and lead a team of applied AI engineers; foster a culture of ownership, speed, and continuous learning; mentor AI engineers and champion strong coding, testing, and documentation standards. Impact and monitoring: track usage, performance, and business impact of deployed AI systems; partner with domain experts to calibrate model outputs and continuously improve system behavior. Qualifications Advanced degree (MS/PhD) in Computer Science, Machine Learning, Data Science, or related field. 14+ years of experience in AI/ML engineering, with at least 5 years in leadership roles. Proven track record of deploying AI systems at scale in high-stakes domains (e.g., life sciences, healthcare, finance). Expertise in deep learning and large language models (e.g., transformers, RAG, distillation). Proficiency in frameworks such as PyTorch or TensorFlow. Strong engineering foundation (data structures, architecture, testing, CI/CD). Excellent communicator with the ability to navigate ambiguity and drive alignment across science, engineering, and operations. Preferred Qualifications Experience working in or alongside clinical, regulatory, or medical affairs functions. Familiarity with GxP, 21 CFR Part 11, and other relevant compliance frameworks. Experience with AI agents, model evaluation for healthcare, and multimodal data integration. What You’ll Gain The opportunity to define the engineering blueprint for applied AI in drug development. Direct impact on how generative AI and automation can transform how trials are designed, conducted, and reviewed. A collaborative environment where research and application meet to deliver innovation at scale. The salary range for this position is $243,100.00 - $314,600.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. 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. Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans. For more information about benefits, visit the Gilead careers site. Gilead Sciences is an equal opportunity employer. We are committed to fostering an inclusive work environment with diverse perspectives and backgrounds. For Current Gilead Employees and Contractors: Please apply via the Internal Career Opportunities portal in Workday.

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