Full Stack AI Engineer, Clinical Engineering & Operations

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work.

Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases.

We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits.

This is work that transforms the lives of patients, and the careers of those who do it.

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 Sc...