Full Stack AI Engineer, Clinical Engineering & Operations

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, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. 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 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.

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 help 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

• Design and maintain 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 Claude, OpenAI, AWS Bedrock, and LangChain.
• 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.
• Responsible for the support, maintenance, and continuous improvement of a portfolio of SaaS and in-house applications, ensuring high availability, performance, and operational stability.
• Partner with business and technology stakeholders to manage application support, incident resolution, enhancements, and lifecycle activities across multiple enterprise platforms.
• 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.
• Must have Bachelor’s degree in Computer Science, Software Engineering, or related field.
• Should have a 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.
• Must be a relationship builder and 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.
• Must possess excellent written and verbal skills and demonstrate an abilit…