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Head of AI Engineering & Enablement
Skills
AdoptionAudit TrailBusiness Process Re-EngineeringConnectorsContextLarge Language ModelsMulti-Agent Systems
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
