Lead AI Engineer – Autonomous Agent Architect

Bristol-Myers Squibb; United States; On-site; USD 110,000 - 135,000; Full time

Job summary

Bristol Myers Squibb in the United States is seeking an AI Engineer to support the AI Enablement Team in developing and deploying enterprise-grade generative AI solutions. This role focuses on LLM platforms, cloud-based AI services, and modern API integration to advance AI capabilities across business functions.

The ideal candidate has expertise in generative AI development, prompt engineering, and tool integration within regulated environments.

Qualifications

• Bachelor's or Master's degree in Computer Science, AI/ML, Engineering, Data Science, or related discipline.
• 9+ years of software engineering experience, with 2+ years building and deploying production LLM-powered applications.
• Proven experience with: Agentic orchestration frameworks: LangGraph (preferred), LangChain, CrewAI, Autogen, or similar.
• Cloud LLM providers: AWS Bedrock, Azure OpenAI, Anthropic Claude, or OpenAI GPT-4.
• Production async web frameworks, particularly FastAPI.
• Docker containerization, Git version control, and CI/CD pipelines.
• Cloud platforms: AWS, Azure, or Google Cloud.
• Demonstrated experience building autonomous agent systems performing multi-step tasks beyond simple chatbots, including conditional logic, state management, and tool-calling patterns.

Responsibilities

• Design, build, and deploy autonomous multi-agent workflows using orchestration frameworks such as LangGraph, CrewAI, Autogen, or similar, including complex state machines with conditional routing, parallel execution, and error recovery patterns.
• Architect graph-based agent workflows with 10+ nodes involving agent collaboration, task decomposition, and sequential/parallel execution across multiple business domains.
• Develop and maintain reusable agent node libraries, extensible platform patterns, versioning strategies, and testing frameworks (unit, integration, and end-to-end) for agent workflows.
• Build production-grade FastAPI applications with async I/O patterns, integrating PostgreSQL, Redis, and external enterprise services.

Skills

LangGraph

LangChain

CrewAI

Autogen

FastAPI

PostgreSQL

Redis

Docker

Git

CI/CD

AWS

Azure

Google Cloud

LLM integration

Education

Bachelor's or Master's degree in Computer Science, AI/ML, Engineering, Data Science, or a related discipline

Job description

Bristol Myers Squibb in the United States is seeking an AI Engineer to support the AI Enablement Team in developing and deploying enterprise-grade generative AI solutions. This role focuses on LLM platforms, cloud-based AI services, and modern API integration to advance AI capabilities across business functions.

The ideal candidate has expertise in generative AI development, prompt engineering, and tool integration within regulated environments.