Develop and integrate LLM-powered solutions RAG architectures AI agents machine learning models and intelligent automation workflows into business-critical applications.
Engineer secure scalable and high-performing microservices and distributed systems while ensuring reliability maintainability and operational excellence.
Partner closely with product managers data scientists architects and business stakeholders to translate complex requirements into innovative technical solutions.
Drive engineering excellence through hands-on development code reviews automated testing performance tuning and implementation of secure coding practices.
Build and support CI/CD pipelines cloud deployments infrastructure automation observability and production operations to enable rapid and reliable software delivery.
Leverage modern technology stacks including cloud services AI platforms vector databases and enterprise integration frameworks to accelerate solution delivery.
Provide technical leadership and mentoring while remaining deeply involved in architecture design development troubleshooting and delivery of production-quality software.
Skills and Experience
7+ years of experience in full-stack or AI-focused software engineering roles with Bachelor’s degree in Computer Science, Engineering or related field, 5+ years with Master’s degree.
Proficiency in modern front-end frameworks, back-end technologies, APIs, databases, and cloud-native application development
Expertise in integrating AI/ML or GenAI capabilities into enterprise applications
Strong understanding of scalable application architecture, microservices, and secure coding practices
Experience with cloud platforms, containers, CI/CD pipelines, and agile development methodologies
Strong problem-solving, debugging, and collaboration skills within global teams
Experience in pharmaceuticals, healthcare, or regulated industries preferred
Familiarity with LLM orchestration frameworks, vector databases, and AI application architectures
Exposure to MLOps, observability, and AI model deployment practices would be a plus
Experience building data-intensive or analytics-driven enterprise platforms desirable
Relevant certifications in cloud, AI/ML, or full-stack engineering technologies preferred
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.
Our environment respects individual differences and recognizes each employee as an integral member of our company. Our workforce reflects these values and celebrates the individuals who make up our growing team.
Gilead provides a work environment free of harassment and prohibited conduct. We promote and support individual differences and diversity of thoughts and opinion.
For Current Gilead Employees and Contractors
Please apply via the Internal Career Opportunities portal in Workday.
