Director, Principal AI Engineer
Bristol Myers Squibb
5 hours ago
Remote friendly (Madison, NJ)
United States
IT
Position Summary
- Lead a small, cross-functional pod to design and deliver generative AI solutions that transform core business processes across Commercialization, R&D, Manufacturing, and Enabling Functions.
- Act as a player-coach (about 60% hands-on; 40% leading/developing your team), owning one to two 12-week AI Accelerator projects at a time.
- Establish reusable patterns, promote responsible AI practices, and help transition successful proofs of concept into enterprise-wide solutions.
Key Responsibilities
- Own end-to-end delivery of 12-week AI Accelerator projects (problem framing, solution design, experimentation, handover).
- Shape use cases, scope, and success metrics with business stakeholders, product owners, and the AI Accelerator Hub.
- Manage trade-offs between experimentation and robustness.
- Ensure smooth transition of successful POCs into the Scale phase with functional IT and business teams.
- Lead a multi-disciplinary pod (frontend, application/cloud, data science, data engineering); provide coaching and technical mentoring.
- Partner with talent acquisition to hire and onboard; onboard/manage staff-augmentation resources if needed.
- Establish lightweight ways of working aligned with agile delivery and rapid experimentation.
- Lead GenAI architecture and delivery for LLM-based and agentic systems; design/implement context engineering, MCP servers, data retrieval/manipulation, vector search, and multi-modal inputs.
- Build and orchestrate agents/tools integrating enterprise systems and workflows.
- Use coding agents (e.g., Claude Code, Codex/GitHub Copilot-style tools, Gemini CLI) to accelerate development.
- Partner across Commercialization, R&D, Manufacturing, and Enabling Functions; communicate progress/risks/outcomes.
- Embed responsible AI practices (safety, evaluation, guardrails).
Qualifications & Experience
- Bachelor’s degree in Engineering, Science, Business, or related field.
- 7+ years’ experience in software engineering, data science, or related roles with increasing responsibility.
- Proven track record designing/delivering GenAI and traditional software applications.
- Deep expertise in Python; experience with TypeScript and modern frontend development (e.g., React).
- Strong experience with MCP, context engineering, multi-modal GenAI inputs, and vector databases.
- Hands-on AWS; Azure and/or GCP familiarity is a plus.
- Practical experience with Azure OpenAI and AWS Bedrock.
- Effective use of coding agents (Claude Code, Codex, Gemini CLI).
- Comfort with GitHub and DevOps.
- Plus: Databricks, Terraform/CloudFormation, MLOps, or app observability.
- Knowledge/experience with agile ways of working.
- Demonstrated people-management experience leading small engineering/data teams.
- Excellent written and verbal communication across technical and executive audiences.
Benefits (explicitly stated)
- Health Coverage (medical, pharmacy, dental, vision).
- Wellbeing Support (BMS Well-Being Account, BMS Living Life Better, EAP).
- Financial Well-being/Protection (401(k), disability, life insurance, and related protections).
- Paid Time Off (flexible time off for US exempt employees; and specified vacation/holiday structure for certain roles).
- Additional time off may include unlimited paid sick time, volunteer days, summer hours flexibility, leaves of absence, and annual Global Shutdown.
Application Instructions
- If your resume doesn’t perfectly match, you are encouraged to apply anyway.
- Lead a small, cross-functional pod to design and deliver generative AI solutions that transform core business processes across Commercialization, R&D, Manufacturing, and Enabling Functions.
- Act as a player-coach (about 60% hands-on; 40% leading/developing your team), owning one to two 12-week AI Accelerator projects at a time.
- Establish reusable patterns, promote responsible AI practices, and help transition successful proofs of concept into enterprise-wide solutions.
Key Responsibilities
- Own end-to-end delivery of 12-week AI Accelerator projects (problem framing, solution design, experimentation, handover).
- Shape use cases, scope, and success metrics with business stakeholders, product owners, and the AI Accelerator Hub.
- Manage trade-offs between experimentation and robustness.
- Ensure smooth transition of successful POCs into the Scale phase with functional IT and business teams.
- Lead a multi-disciplinary pod (frontend, application/cloud, data science, data engineering); provide coaching and technical mentoring.
- Partner with talent acquisition to hire and onboard; onboard/manage staff-augmentation resources if needed.
- Establish lightweight ways of working aligned with agile delivery and rapid experimentation.
- Lead GenAI architecture and delivery for LLM-based and agentic systems; design/implement context engineering, MCP servers, data retrieval/manipulation, vector search, and multi-modal inputs.
- Build and orchestrate agents/tools integrating enterprise systems and workflows.
- Use coding agents (e.g., Claude Code, Codex/GitHub Copilot-style tools, Gemini CLI) to accelerate development.
- Partner across Commercialization, R&D, Manufacturing, and Enabling Functions; communicate progress/risks/outcomes.
- Embed responsible AI practices (safety, evaluation, guardrails).
Qualifications & Experience
- Bachelor’s degree in Engineering, Science, Business, or related field.
- 7+ years’ experience in software engineering, data science, or related roles with increasing responsibility.
- Proven track record designing/delivering GenAI and traditional software applications.
- Deep expertise in Python; experience with TypeScript and modern frontend development (e.g., React).
- Strong experience with MCP, context engineering, multi-modal GenAI inputs, and vector databases.
- Hands-on AWS; Azure and/or GCP familiarity is a plus.
- Practical experience with Azure OpenAI and AWS Bedrock.
- Effective use of coding agents (Claude Code, Codex, Gemini CLI).
- Comfort with GitHub and DevOps.
- Plus: Databricks, Terraform/CloudFormation, MLOps, or app observability.
- Knowledge/experience with agile ways of working.
- Demonstrated people-management experience leading small engineering/data teams.
- Excellent written and verbal communication across technical and executive audiences.
Benefits (explicitly stated)
- Health Coverage (medical, pharmacy, dental, vision).
- Wellbeing Support (BMS Well-Being Account, BMS Living Life Better, EAP).
- Financial Well-being/Protection (401(k), disability, life insurance, and related protections).
- Paid Time Off (flexible time off for US exempt employees; and specified vacation/holiday structure for certain roles).
- Additional time off may include unlimited paid sick time, volunteer days, summer hours flexibility, leaves of absence, and annual Global Shutdown.
Application Instructions
- If your resume doesn’t perfectly match, you are encouraged to apply anyway.