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Head of AI Engineering & Enablement

Skills
AdoptionAudit TrailBusiness Process Re-EngineeringConnectorsContextLarge Language ModelsMulti-Agent Systems
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • 8+ years in software engineering applied AI or technical product roles
  • Hands-on production experience building and shipping code systems
  • Experience with multi-agent systems RAG pipelines MCP servers and API integrations
  • Experience deploying AI in HIPAA-regulated or comparable environments
  • Strong business acumen and operational judgment
  • Experience re-engineering business processes before automating them
  • Proven ability to drive adoption in non-technical teams
  • Experience leading a small team while staying hands-on
  • Excellent communication with executives and engineers

Nice to have

  • Hands-on
  • Process-oriented
  • Strategic
  • Collaborative
  • Outcome-focused
  • Adaptable

Day to day

  • Lead AI efforts across internal operations as a hands-on player coach
  • Build and ship internal agents automations and workflow improvements alongside a small engineering team
  • Partner with functional leaders to re-engineer processes and create leverage as the company scales
  • Define governance standards deployment monitoring and secure data handling for AI across the organization
  • Enable teams through training templates prompt libraries and coaching so AI adoption scales beyond the central team

Hiring process

  • Apply through the official application portal or Greenhouse
  • Phone and video screenings may be recorded and transcribed via BrightHire
  • Initial talent screen includes geo-zone compensation discussion