Director, AI Engineering and Enablement

Bristol Myers Squibb

Closes tomorrow Hybrid

Quick summary

Work type
Hybrid
Location
Princeton, NJMadison, NJ
Salary
$193,040–$233,913 / yr
Posted
32 days ago
Closes
Jun 13, 2026 (soon)
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $221k
This role $213k
$178k most similar roles pay here $271k

This role pays less than 58% of similar roles. Most pay $186,609–$255,000 — the shaded band above. At the midpoint, this role pays about $213k versus about $221k for comparable roles.

Based on 240 similar postings.

Employer

About Bristol Myers Squibb

Bristol Myers Squibb is a global biopharmaceutical company committed to discovering, developing and delivering innovative medicines to patients.

Bristol Myers Squibb currently has 33 open roles on FindRole.

Listed pay typically runs $135,320–$163,976 across 33 roles with salary data.

Most-posted roles

View all roles at Bristol Myers Squibb

At a glance

TL;DR · Director, AI Engineering and Enablement

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As the Director of AI Engineering and Enablement at Bristol Myers Squibb, you will lead a team responsible for architecting and implementing scalable enterprise GenAI applications. Your day-to-day involves designing cloud-based solutions on AWS, Azure, or GCP, developing production-grade code in Python and React, and ensuring robust software engineering practices are followed. You will also manage a diverse engineering team, providing mentorship and fostering innovation while setting standards for documentation and best practices. Key skills include expertise in GenAI frameworks like LangChain and LangGraph, full-stack development experience, and the ability to deploy AI applications using cloud-native infrastructure. This role demands a deep understanding of enterprise application lifecycle management, security, compliance, and performance optimization within the pharmaceutical industry's complex technical landscape.

Skills

AWS Azure GCP Python React LangChain LangGraph CI/CD Docker Kubernetes Terraform PostgreSQL RESTful APIs microservices containers observability tools version control modularity automated testing code reviews cloud-native infrastructure

What you'll do

  • Lead the architecture and design of scalable Enterprise AI applications.
  • Define solution architectures for cloud platforms to ensure scalability and security.
  • Develop core features and infrastructure using Python, React, and other languages.
  • Drive adoption of best software engineering practices across the organization.
  • Manage an engineering team, providing technical mentorship and fostering innovation.
  • Research and implement Agentic AI solutions using frameworks like LangChain and LangGraph.
  • Oversee cloud resources to ensure cost optimization and performance.

What we're looking for

  • 7+ years of experience in software/AI engineering.
  • 3+ years of leadership in technical teams.
  • Expertise in developing and deploying enterprise applications on AWS, Azure, GCP.
  • Proficiency in Python, React, and modern GenAI frameworks like LangChain and LangGraph.
  • Strong understanding of AI application lifecycle, security, compliance, and performance optimization.
  • Excellent communication, leadership, and project management skills.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

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