Full Stack AI Engineer, Clinical Engineering & Operations

Position Summary We are seeking a Full Stack AI Engineer to serve in an AI‑first, agile product team supporting Global Development Operations (GDO). This 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—not an add‑on. 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 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 Salesforce platform. 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, 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. Relationship builder capable of working effectively in a highly matrix organization with strong communication, planning, and collaboration skills. Strong technical expertise, leadership skills, and a passion for delivering high‑quality, reliable solutions. Excellent written and verbal skills and ability to communicate at all levels of the organization. Compensation Overview Princeton – NJ – US: $108,970 – $132,046. The starting compensation range for this role is listed above for a full‑time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. Final, individual compensation will be decided based on demonstrated experience. Eligibility for specific benefits listed on our careers site may vary based on the job and location. Benefits (Overview) Health Coverage (Medical, pharmacy, dental, and vision care), Wellbeing Support (BMS Well‑Being Account, BMS Living Life Better, Employee Assistance Programs), Financial Well‑Being and Protection (401(k) plan, disability, life insurance, etc.), Work‑life benefits including paid time off, flexible time off, national holidays, and global shutdown. For more on benefits, visit Equal Employment Opportunity Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement. #J-18808-Ljbffr