Fullstack AI Lead Engineer

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 fulfill their aspirations. Join Gilead and help create possible, together. Job Description   Job Responsibilities • Lead the hands-on development of full-stack applications integrated with AI/ML and GenAI capabilities for global pharma and enterprise use cases • Design, build, and maintain scalable front-end, back-end, API, and AI-enabled application components across cloud-native platforms • Collaborate with product, engineering, data science, and business teams to deliver intuitive, high-performance digital solutions • Develop and integrate AI/ML models, LLM-based services, and intelligent workflows into enterprise applications • Collaborate to drive best practices in software engineering, testing, code quality, security, and performance optimization, adopt where applicable • Support CI/CD automation, production deployments, monitoring, and issue resolution in partnership with DevOps teams • Mentor junior engineers and contribute to continuous improvement in engineering standards and agile delivery practices     Skills and Experience • 4+ years of experience in full-stack or AI- focused software engineering roles with Bachelor’s degree in Computer Science, Engineering or related field, 2+ 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 express