AI Enablement Lead
Core
Design practical agentic tooling and enable engineering teams to adopt AI tools effectively, improving productivity and delivery speed.
Role type
Senior IC AI Enablement Lead (Agentic Tooling & Adoption)
Builds
Custom AI agents, subagents, hooks, quality gates, evaluation frameworks, and specification-to-implementation workflows.
Domain
Software Engineering / Generative AI / AI Agents
Deliverable
production ML models | product features
Required skills
Building agentic tooling (custom skills, subagents, hooks, MCP servers), strong depth in one engineering area (Backend, Frontend, QA, DevOps, Data), proficiency in one programming language (Python, TypeScript, C#, Java, Kotlin, Go), CI/CD, Docker, SQL, cloud platforms, Git/code review.
Preferred skills
Agent observability (OpenTelemetry, Langfuse, LangSmith), evaluation frameworks (DeepEval, Ragas), LangGraph, RAG/vector search, DORA/SPACE metrics.
Technologies
Claude Code, Cursor, GitHub Copilot, Kiro, Codex, OpenTelemetry, Langfuse, LangSmith, Phoenix, DeepEval, Ragas, LangGraph, Docker, SQL, Git.
Responsibilities
Assess client engineering workflows and identify inconsistent AI tool usage; build agentic tooling for clear value; instrument solutions for cost/usage visibility; run demos and workshops for adoption; support teams until independent operation; participate in pre-sales technical assessments.
Seniority
Senior, hands-on IC with client-facing consulting