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
 

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). 

Key Responsibilities 

Innovate & 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 & 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 & 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 & Monitoring: 

• Track usage, performance, and business impact of deployed AI systems.