Head of AI Engineering & Enablement
Core
Lead internal AI strategy and build production-grade multi-agent systems to re-engineer company operations and workflows.
Role type
Head of AI Engineering & Enablement (Hands-on IC with team leadership)
Builds
Internal AI agents, automations, and a shared organizational context layer for Tebra's operating functions.
Domain
Healthcare technology (EHR) / Applied AI / Operations
Deliverable
production ML models | product features
Required skills
Multi-agent system design, RAG pipelines, agent-to-agent orchestration, MCP servers, HIPAA-compliant AI deployment, process re-engineering, technical product management
Preferred skills
LLM-based workflow design, building reusable AI frameworks, change leadership for non-technical teams
Technologies
Gong, Salesforce, NetSuite, Snowflake, Slack, Workato
Responsibilities
Identify high-efficiency use cases with C-suite, audit and re-engineer business processes, build high-value internal agents and automations, define AI governance and security standards, enable functions to build their own agents
Seniority
Senior, hands-on IC with team leadership
