Job Details

Associate Director Of Intelligent Solutions Engineering

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.

Key Responsibilities

• 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 DevOps 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.

Basic Qualifications

• 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 lifecycles.
• Advanced Python proficiency building production REST APIs and async systems; working knowledge of modern frontend frameworks (React preferred).
• DevOps proficiency with CI/CD automation (GitHub Actions, Terraform), containerization (Docker), and cloud security best practices (IAM, secrets management, network security).
• Production AWS expertise: serverless architectures (Lambda, ECS), storage solutions (S3, RDS, DynamoDB), and infrastructure-as-code (Terraform).
• Data integration engineering including API development, middleware solutions, event-driven architectures, and automated data synchronization pipelines.
• Generative AI expertise with LLMs, prompt engineering, and frameworks (LangChain).
• Proficiency with AI-powered development tools (GitHub Copilot, Cursor, Claude) for accelerated code generation and refactoring.

Preferred Qualifications

• Experience working in or alongside clinical, regulatory, or real-world evidence (RWE) functions.
• Familiarity with GxP, 21 CFR Part 11, and other relevant compliance frameworks.
• Experience with AI/ML applications in healthcare, including model evaluation, validation frameworks, and integration of multimodal data sources.

You'll have the opportunity to shape technical strategy at the intersection of software architecture and AI, working on transformative projects that deliver real business impact. This role offers the chance to build strong cross-functional relationships while staying at the forefront of emerging AI technologies. You'll develop your ability to bridge technical and business contexts, lead high-performing teams, and drive meaningful results through a pragmatic, value-focused approach to innovationall while maintaining the technical depth to contribute from architecture to code.

The salary range for this position is: $195,670.00 - $253,220.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. 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.

Gilead Sciences Inc. is committed to providing equal employment opportunities to all employees and applicants for employment, and is dedicated to fostering an inclusive work environment comprised of diverse perspectives, backgrounds, and experiences. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, sex, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws.