Associate Director, Senior AI Engineer

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:

As a Senior AI Engineer within Bristol Myers Squibb’s AI Accelerator program, you will be a senior individual contributor focused on building the shared patterns, templates, components, and best practices that power Accelerator projects across Commercialization, R&D, Manufacturing, and Enabling Functions. You will spend much of your time hands‑on in technical architecture, system and solution design, and building cloud‑native GenAI platforms and reference implementations.

You will create reusable GenAI building blocks and delivery patterns that enable Pod Leads to move faster, and step in to support or augment AI Accelerator pod teams when they encounter complex technical challenges. Partnering closely with business, product, and technology stakeholders, you will promote responsible AI practices and help prepare successful proofs of concept for scalable, enterprise‑wide adoption. As a senior engineer on the team, you will help set technical direction through influence, high standards, and mentorship.

• Design, build, and maintain shared GenAI architectures, templates, and reusable components used across AI Accelerator pods.
• Define and uphold technical standards and best practices for LLM‑based applications, context engineering, MCP servers, agentic systems, and multi‑modal solutions.
• Develop reference implementations, starter kits, and infrastructure patterns that accelerate setup and delivery of 12‑week Accelerator projects.
• Continuously refine patterns and components based on feedback from pod teams, evolving needs, and advances in AI/ML services.

• Partner with Pod Leads to identify where shared components and patterns can improve velocity, reliability, and consistency of delivery.
• Temporarily embed with pods to help solve complex technical problems, spike new capabilities, or backfill critical skills as needed.
• Provide technical coaching, design reviews, and architecture guidance to pod engineers to improve solution quality and reuse.
• Assist with troubleshooting and root‑cause analysis for challenging POCs or production‑adjacent issues that touch shared components.

• Serve as a senior technical leader on the Foundations & Frameworks team, driving execution and raising the bar through strong engineering practices.
• Mentor engineers through pairing, code reviews, design reviews, and hands‑on guidance, helping develop skills and technical judgment.
• Support onboarding and knowledge transfer by contributing to internal documentation, playbooks, templates, and reusable examples.
• Help establish lightweight, effective ways of working aligned with agile delivery, rapid experimentation, and reuse‑first thinking.

• Collaborate with stakeholders across Commercialization, R&D, Manufacturing, Enabling Functions, and the AI Accelerator Hub to align shared patterns with business and technology needs.
• Communicate technical decisions, trade‑offs, and platform roadmaps clearly to both technical teams and senior leadership.
• Help pod teams prepare successful POCs for Scale phase by aligning with enterprise architecture, security, and operational standards.
• Embed…