About the role

Senior AI Engineer developing and scaling AI solutions for healthcare at Trillium Health Partners. Collaborating with teams and managing the lifecycle of AI projects in a clinical environment.

Responsibilities

Reporting to the Director, AI & Digital Planning, the Senior AI Engineer will be responsible for using the latest AI tools to design, prototype, build, evaluate, and scale AI solutions including Generative and Agentic AI
Define and document architectural patterns, technical standards, and design decisions
Collaborate with internal teams to develop AI solutions
Embed directly within clinical and operational teams to identify automation and agentic opportunities
Manage the end-to-end lifecycle of AI solutions from design and development to implementation and sustainability
Lead AI integration and implementation efforts within the hospital, and with partners
Develop API endpoints and implement Model Context Protocols (MCPs) for exchanging healthcare information
Connect AI agents to core hospital systems via APIs
Design and implement techniques to optimize AI performance
Build reliability and safety infrastructure for AI systems in a healthcare environment
Ensure AI solutions comply with privacy, security, and responsible AI requirements
Monitor and troubleshoot production issues

BS in computer science, engineering or a similar discipline, or equivalent practical experience
5+ years experience in software engineering, with at least 2 years focused on AI/ML systems
Python proficiency
Demonstrated experience building and shipping LLM-powered applications to production
Experience with at least one orchestration framework (LangGraph, LangChain, Semantic Kernel, or equivalent)
Experience with API design and integration.
Experience with version control (Git), CI/CD pipelines, and containerized deployments (Docker/Kubernetes)
Strong communication and collaboration skills to work effectively with cross-functional teams and customers
Ability to troubleshoot complex issues and identify root causes