Manager, Full Stack Engineer, Clinical Engineering & Operations

Position Summary We are seeking a Manager, Full Stack Engineer to serve in an AI‑first, agile product team supporting Global Development Operations (GDO). The role is accountable for designing, building, and operating 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. Key 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. 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. Qualifications Minimum 8 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. Experience developing applications on the Salesforce platform. Track record implementing moderately complex technical solutions in a regulated environment and following SDLC processes. Practical experience building Generative AI and Agentic AI applications using tools such as LangChain, LlamaIndex, Google ADK, etc. Strong proficiency in Python and React; Java or TypeScript familiarity. Solid grasp of REST APIs, MCPs, FastAPI, JSON/XML, and knowledge of TensorFlow or PyTorch. Experience with AWS Cloud services such as Lambda, S3, DynamoDB, Bedrock, SageMaker. Strong data analytics skills – SQL/NoSQL databases and efficient query writing. Excellent problem‑solving, analytical, and communication skills. Relationship builder able to work effectively in a highly matrixed organization. Leadership skills and a passion for delivering high‑quality, reliable solutions. Excellent written and verbal communication skills at all organizational levels. Compensation Overview Princeton – NJ – US: $108,970 – $132,046 (starting compensation). Additional incentive cash and stock opportunities may be available based on eligibility. Final individual compensation will be decided based on demonstrated experience. Benefits Health Coverage: Medical, pharmacy, dental, and vision care. Well‑being Support: BMS Well‑Being Account, BMS Living Life Better, Employee Assistance Programs. Financial Well‑being: 401(k) plan, disability insurance, life insurance, supplemental health insurance, and other protective benefits. Work‑life benefits: Paid Time Off, flexible time off, holidays, optional holidays, paid volunteer days, and annual Global Shutdown. Equal Employment Opportunity Statement Visit career.bms.com/eeo-accessibility for our full Equal Employment Opportunity statement. #J-18808-Ljbffr