Principal Ai Engineer

Bristol Myers Squibb

Hybrid (50% onsite)
Langgraph or similar agentic orchestration frameworks
Production async python programming with fastapi
Cloud llm providers aws bedrock azure openai
Bristol Myers Squibb is seeking a Principal AI Engineer to design and deploy autonomous multi-agent workflows, focusing on advanced technologies and collaboration across business domains. The role requires significant experience in AI/ML applications and offers a supportive culture within a company dedicated to transforming patients' lives through science

Job Summary

  • This role involves designing and deploying autonomous multi-agent workflows using advanced orchestration frameworks like LangGraph and CrewAI to transform patient lives through science.
  • The position requires building production-grade applications with real-time streaming capabilities and integrating cloud-based LLM providers such as AWS Bedrock and Azure OpenAI.
  • Candidates will mentor junior engineers, participate in architecture reviews, and ensure enterprise security while optimizing agent performance and costs.

Matching Summary

Match Score: 85

Bristol Myers Squibb is seeking a Principal AI Engineer to design and deploy autonomous multi-agent workflows, focusing on advanced technologies and collaboration across business domains. The role requires significant experience in AI/ML applications and offers a supportive culture within a company dedicated to transforming patients' lives through science.

Skills & Requirements

Must-have

  • LangGraph or similar agentic orchestration frameworks
  • Production async Python programming with FastAPI
  • Cloud LLM providers AWS Bedrock Azure OpenAI
  • Real-time streaming SSE WebSocket protocols
  • Redis checkpointing for conversation state persistence
  • LLMOps observability Langfuse LangSmith integration
  • Enterprise security LDAP SSO compliance

Nice-to-have

  • Experience in global life sciences industry
  • Collaboration with offshore technical development teams
  • Prior experience in GPS functional area
  • Mentoring junior engineers on async patterns
  • Building hybrid intelligence patterns with rule-based logic

Key Requirements

  • Bachelor's or Master's degree in Computer Science or related field
  • 9+ years of software engineering experience
  • 2+ years building and deploying production LLM-powered applications
  • Expert-level async Python programming skills
  • Demonstrated experience with autonomous agent systems and tool-calling patterns

Work Rights

Not specified

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