Associate Director, 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 an Associate Director of Intelligent Solutions Engineering to lead delivery teams and initiatives building AI-powered platforms and cloud applications that streamline clinical trial processes and accelerate medicine delivery to patients. In this hands‑on technical leadership role, you will oversee the architecture and development of custom products that automate workflows, enable data‑driven decisions, and extract insights from diverse data sources.

You’ll drive technical execution by working directly with engineers, data scientists, business users, and cross‑functional stakeholders to deliver robust, scalable, and maintainable solutions. This role requires balancing innovative AI technologies with real‑world application requirements, ensuring our platforms are both technically sound and usable while aligned with business objectives.

• Lead technical strategy, roadmap, and architecture for scalable, cloud‑native software solutions across onshore and offshore engineering teams.
• Partner with data science teams and business stakeholders to identify priorities and modernize processes.
• Communicate technical vision to align and influence cross‑functional teams and senior stakeholders.
• Architect and implement platforms that integrate, analyze, and visualize data using serverless, modern web technologies, and full‑stack AWS deployments.
• Serve as technical subject matter expert for AI solutions, including Generative AI applications, context engineering, document generation, and agentic workflows.
• Drive end‑to‑end product development from inception through production deployment and maintenance.
• Establish and enforce software engineering standards, design patterns, and architectural principles.
• Implement automation‑first Dev Ops practices and champion continuous improvement initiatives.
• Oversee offshore vendor partnerships to ensure quality delivery and product sustainability.
• Mentor engineering teams on AI‑driven software development practices and establish best practices for code quality, testing, and documentation, including training on AI tooling and implementation.
• Research and apply emerging AI technologies and innovative approaches to solve complex technical challenges.

• BA/BS with at least 10 years of relevant experience, MA/MS/MBA with at least 8+ years of relevant experience, or PhD with at least 2 years of experience.
• 4+ years of cross‑functional technical project management or other relevant leadership experience in a business environment, including multiple years managing project teams.
• Expert‑level understanding of software engineering fundamentals including data structures, algorithms, complexity analysis, and system design principles.
• Proven experience leading full SDLC implementations across multiple methodologies (Agile/Scrum, waterfall, hybrid) and product development life cycles.
• Advanced Python proficiency building production REST APIs and async systems; working knowledge of modern frontend frameworks (React…