Head of AI Enablement Engineering
Core
Lead the end-to-end strategy and hands-on execution of AI enablement engineering to make Deepgram an AI-native company by building reusable agents, workflows, and patterns that drive adoption and productivity across all functions.
Role type
Senior leadership IC / Build-first Head of AI Enablement Engineering
Builds
Reusable agents and skills, MCP integrations, paved-road workflows, prompt/pattern libraries, and an enablement hub for internal tooling.
Domain
Voice AI / Generative AI / Developer Productivity / Internal Platform Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Hands-on agent and workflow development, LLM application patterns, MCP/agent tooling, orchestration, technology adoption strategy, cross-functional influence, product thinking for enablement, safe-use guardrails definition.
Preferred skills
Building internal platforms from scratch, leading distributed champions networks, enterprise AI search/knowledge tooling experience, measuring developer productivity.
Technologies
LLMs, MCP, agent orchestration frameworks, internal tooling platforms.
Responsibilities
Evaluate and prototype AI tools/models/orchestration layers; build reference implementations and enablement patterns; set company-wide AI adoption metrics and milestones; partner with Security/Platform to define embedded guardrails; grow a central team and distributed champions network.
Seniority
Senior, hands-on IC with executive-level mandate