Director, AI Engineering and Enablement

About

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.

Position Summary

As Director, AI Engineering and Enablement within Bristol Myers Squibb's AI Engineering and Enablement team, you will lead the architecture, design, and implementation of scalable Enterprise AI applications. Drive the technical strategy for Gen AI solutions, ensuring robust integration, security, and performance across the organization.

Key Responsibilities

• Enterprise GenAI Solution Development: architect, design, and build end‑to‑end GenAI applications.
• Define solution architectures for leveraging cloud platforms (AWS, Azure, GCP) for scalability, reliability, and security.
• Present and propose technical solutions that fit requirements.
• Plan and coordinate project deliveries to ensure timelines and business needs are met.
• Hands‑On Engineering Leadership: develop core features and infrastructure; write production‑grade code in Python, React, and other languages as needed.
• Lead implementation of best software engineering practices (modularity, version control, CI/CD, automated testing).
• Perform code and architecture reviews to ensure robust, maintainable, and high‑performing solutions.
• Drive adoption of engineering best practices across the organization.
• Set standards for thorough, clear documentation of architectures, processes, and code.
• Team Management & Mentorship: directly manage an engineering team (senior & junior engineers), overseeing hiring, onboarding, and day‑to‑day activities.
• Provide technical mentorship; foster a culture of innovation, learning, and inclusiveness.
• Set clear objectives, track progress, and conduct regular performance reviews.
• Framework Expertise: research, design, and implement Agentic AI solutions using frameworks such as LangChain and LangGraph.
• Build autonomous genAI agents capable of reasoning, multi‑step workflows, and tool‑usage.
• Optimize agent performance, reliability, and compliance for enterprise production.
• Evaluate emerging AI techniques, tools, and frameworks; make strategic recommendations.
• Champion AI/engineering best practices, foster continuous learning through tech talks and workshops.
• Full Stack Development & Deployment: develop intuitive user interfaces in React; integrate front‑end with back‑end APIs and AI models.
• Collaborate with UX/UI teams to drive adoption and usability of AI applications.
• Maintain and evolve RESTful APIs and microservices architecture.
• Deploy, monitor, and maintain AI applications using cloud‑native infrastructure (containers, CI/CD, observability tools).
• Oversee cloud resources ensuring cost optimization and performance.

Qualifications & Experience

• Bachelor's or Master's in Computer Science, Engineering, or related field.
• 7+ years in software/AI engineering.
• 3+ years leading technical teams.
• Proven experience developing and deploying enterprise applications in cloud environments (AWS, Azure, GCP).
• Advanced skills in Python, React, and familiarity with modern GenAI frameworks (LangChain, LangGraph, etc.).
• Strong understanding of AI application lifecycle, security, compliance, and performance optimization.
• Excellent communication, leadership, and project management skills.

Compensation Overview

• Madison – Giralda – NJ – US: $193,040 – $233,913
• Princeton – NJ – US: $193,040 – $233,913
• Seattle – WA: $212,340 – $257,304

The starting compensation range(s) above are for a full‑time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available.

Benefits

• Health Coverage: Medical, pharmacy, dental, and vision care.
• Wellbeing Support: BMS Well‑Being Account, BMS Living Life Better, Employee Assistance Programs (EAP).
• Financial Well‑being & Protection: 401(k) plan, short‑ and long‑term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, survivor support.

Work‑life Benefits

• Paid Time Off:
  • US Exempt Employees – flexible time off (unlimited, with manager approval) plus 11 paid national holidays.
  • Phoenix, AZ, Puerto Rico, and Rayzebio Exempt/Non‑Exempt Hourly Employees – 160 hours annual paid vacation for new hires, 11 national holidays, and 3 optional holidays.
• Additional time off may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs, and an annual Global Shutdown between Christmas and New Year’s Day.

On‑site Protocol

BMS determines occupancy structure based on role responsibilities:

• Site‑essential: 100 % of shifts onsite at the assigned facility.
• Site‑by‑design: Eligible for a hybrid model with at least 50 % onsite; onsite presence is essential for collaboration, innovation, productivity, and culture.
• Field‑based & Remote‑by‑design: Physical travel to customers, patients, or business partners and attendance at meetings as directed is an essential job function.