AI Enablement Lead

We're looking for a unique blend of hands-on software engineer and passionate technical educator to drive our internal AI transformation. You'll turn generic AI capabilities into company-specific leverage - setting up reliable tooling, defining security guardrails, and creating comprehensive learning paths. You'll act as the central bridge between engineering and the broader business, championing AI adoption and shifting workflows across departments. If you love exploring LLMs, building prototypes, and have a talent for explaining complex concepts in a way that genuinely empowers others, this role will give you direct impact on the productivity and culture of the entire organisation. What you'll own AI Tooling Setup - hands-on installation and integration of AI tools (Claude, Copilot, Cursor) with internal systems via MCP servers to build context-aware, reliable AI workflows Phased AI Adoption - lead rollout starting with engineering, then expand to non-technical departments Enablement Programmes - training curricula, playbooks, workshops, and self-serve documentation to upskill the entire company on LLMs AI Standards & Best Practices - prompting guidelines, AI-ready documentation, reusable workflow patterns to make AI usage predictable and effective across teams AI Champion Network - identify, train, and support local AI advocates across teams to multiply adoption horizontally Security Guardrails - partner with Security, IT, and Legal on data privacy and prompt hygiene defaults Tool Evaluation - evidence-based methodology for selecting AI tools benchmarked against real workflows Impact Measurement - track AI adoption metrics and show where AI creates real leverage Hands-on Credibility - stay deeply technical by prototyping integrations, dogfooding tools daily, and building reference workflows; your credibility rests on doing the work, not just teaching it Travel - occasional office visits to run in-person workshops, onboard teams, and collaborate directly with engineers and stakeholders What you bring Technical: 5+ years of hands-on software engineering experience - engineering fluency matters more than specific stack 1+ year of deep, hands-on LLM experience (Claude, GPT, etc.) - prompt design, agentic workflows, real-world model limits Proven experience configuring or building AI-assisted developer tools (coding assistants, RAG, agents) Strong API integration skills and solid Git workflows Sound understanding of data security, privacy, and access-control basics Exceptional communication - you write playbooks and training materials people actually use (this is a communication-first role) Proven experience in mentoring, technical onboarding, running internal talks, or building communities of practice Influence without authority - you build enthusiasm, drive adoption, and shift behaviours across teams that don't report to you Comfortable facilitating workshops and presenting to groups Proactive, highly analytical, and comfortable defining your own roadmap in an ambiguous space Polish at C1 level - required English at C1 level strongly preferred (B2 minimum) Nice to have: Hands-on experience with Claude, Cowork, and MCP (Model Context Protocol) Background in Developer Advocacy, Developer Relations, or formal internal technical enablement Experience creating formal technical documentation, courseware, or developer-facing content Familiarity with React/Next.js for building internal tools and demos Comfort with SQL and exposure to NoSQL or vector databases Working knowledge of Docker, CI/CD, and containerised environments #J-18808-Ljbffr