Full Stack AI Engineer

Overview Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, across departments, from optimizing a production line to breakthroughs in cell therapy. This is work that transforms the lives of patients and the careers of those who do it. You’ll have opportunities to grow and thrive alongside high-achieving teams. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer competitive benefits, services and programs to support employees in pursuing goals at work and in personal life. Read more: careers.bms.com/working-with-us. Position Summary We are seeking a Manager, Full Stack Engineer to serve in an AI‑first, agile product team supporting Global Development Operations (GDO). This role designs, builds, and operates AI‑native products where large language models, agentic workflows, and data‑driven intelligence are the default approach to solving business problems. The ideal candidate brings hands‑on engineering expertise and proven experience delivering production‑grade Generative and Agentic AI solutions in a regulated environment. This individual will shape how products are designed, developed, delivered, and continuously improved, embedding AI into core workflows to augment decision‑making, automate execution, and scale impact across GDO. Specific Responsibilities Accountable for the build, operation, and continuous improvement of AI‑native applications and platforms, including bespoke solutions and AI‑enabled SaaS, with AI as the default design paradigm. Partner with product managers and GDO stakeholders to identify opportunities where AI can augment human decision‑making, automate execution, and create step‑change improvements in clinical and operational workflows. Design, develop, and maintain secure, scalable applications using Python/Java/Node JS/React JS. Build applications on the Salesforce platform. Design and operate LLM‑native and agentic systems as long‑lived products, incorporating human‑in‑the‑loop patterns, continuous learning, monitoring, and governance as part of the standard operating model. Frameworks include OpenAI, AWS Bedrock, and LangChain. Incorporate microservices, APIs, MCPs, event‑driven processes, and middleware within enterprise systems. Use critical thinking to investigate issues with systems and data, and identify solutions for short‑term remediation and long‑term strategy. Implement CI/CD practices for software applications. Monitor model performance in production and manage model drift, retraining, and rollback strategies. Ensure compliance with data governance, privacy, and security standards. Requirements Must have a minimum of 5 years of strong experience in software engineering; Pharma/Life Sciences experience is a plus. Bachelor’s degree in Computer Science, Software Engineering, or related field. Demonstrated track record implementing moderately complex technical solutions, developing software applications following SDLC processes in a regulated environment. Practical experience building Generative AI and Agentic AI applications using tools like LangChain, LlamaIndex, Google ADK, etc. Strong proficiency in Python and React; Java or TypeScript familiarity. Solid grasp of REST APIs, MCPs, FastAPI, and JSON/XML and knowledge about TensorFlow or PyTorch. Experience with AWS Cloud services such as Lambda, S3, DynamoDB, Bedrock, SageMaker. Strong data analytics skills – SQL/NoSQL databases, able to write efficient queries. Excellent problem‑solving and analytical skills; strong communication, planning, and collaboration in a matrix organization. Strong technical leadership and a passion for delivering high‑quality, reliable solutions. Excellent written and verbal communication at all levels of the organization. Note: If a role intrigues you but doesn’t perfectly line up with your resume, you are encouraged to apply anyway. Benefits Benefit offerings are subject to the terms of applicable plans and enrollment. Our benefits include: Health Coverage: Medical, pharmacy, dental, and vision care. Wellbeing Support: Programs such as BMS Well‑Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP). Financial Well‑being and Protection: 401(k) plan, disability and life insurance, and related protections. Work-life and Additional Details On-site protocol and accommodation information are provided to support diverse working arrangements, including site‑essential, hybrid, field‑based, and remote roles. BMS is committed to equal employment opportunity and accessibility; details are available on careers.bms.com/eeo-accessibility. #J-18808-Ljbffr