Director, AI Engineering and Enablement

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.

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.

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. BMS Internal Set standards for thorough, clear documentation of architectures, processes, and code.

Management & Mentorship Directly manage a 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, and 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. #LI-Hybrid #AIEngineering #AICP  We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway.

Overview: Princeton - NJ - US: $193,040 - $233,913 
 The starting pay range(s)