Enterprise AI Enablement Leader

FDJ UNITED

Greater London

On-site

GBP 90,000 - 130,000

Full time

14 days+

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Job summary

FDJ UNITED in London is seeking an AI Enablement Lead to drive enterprise AI transformation across our Tech function of 1,000+ people, based in South Wimbledon. This role blends hands‑on coaching with governance, embedding security into every AI use case from day one.

You will design workshops, coach engineers, and guide teams through RAG pipelines, AI agent design, and API integration, while rising to senior stakeholder briefs in a fast‑paced, regulated iGaming environment.

Qualifications

4–7 years in a hands‑on technical role (data engineering, AI/ML engineering, solutions architecture, or DevOps) with enablement, consultancy, or internal transformation.
Proven experience coaching technical teams to build and deploy AI agents or RAG pipelines in production — not just building them.
Hands‑on with at least one low‑code/no‑code automation platform (e.g. n8n) — enough to credibly train others.
Strong prompt engineering knowledge: system‑level prompts, structured output, chain‑of‑thought, evaluation techniques — and the ability to teach these to others.
Solid understanding of enterprise integration patterns: REST APIs, OAuth/SSO authentication, rate limiting, data flow between systems.
Demonstrable commitment to governance and process: embed security, data classification, and compliance into how teams work.
Track record of delivering technical workshops where participants built tangible solutions themselves — not lecture‑based training.
Ability to translate complex technical concepts clearly for non‑technical audiences and present credibly to senior stakeholders.

Responsibilities

Design and deliver hands‑on technical workshops for Tech teams as a Technical AI Coach — where participants build and ship working AI agents themselves.
Coach engineers and domain experts through identifying real use cases, scoping them rigorously, and building their first working solutions on KAIT.
Run structured AI opportunity audits within Tech teams: helping teams assess quick wins, which need Architect‑level guidance, and which are not worth pursuing.
Create technical training content covering RAG pipelines, AI agent design, prompt engineering, and API integration — written for a Tech audience, grounded in real OBG scenarios.
Provide floor support during workshop sessions, including live debugging and troubleshooting — guiding participants through solving problems, not solving for them.
As an Enterprise AI Enablement specialist, ensure security, data governance, and compliance are embedded into every use case from the start.
Train teams to think about data classification, human oversight, and audit requirements as part of their design process — core to any regulated industry AI role.
Upskill teams on OBG's Technology Release Process so they can self‑serve: preparing documentation, completing governance checklists, and meeting production standards.
Identify gaps in existing processes, documentation, or governance frameworks and work with A&I and platform teams to close those gaps through training and upskilling.
Coach Tech Innovators through the full lifecycle as an AI Adoption Lead: from identifying where AI adds genuine value, through scoping and prototyping, to handing off complex builds for Architect‑level support.
For high‑complexity use cases (multi‑system integrations, MCP connectors, RAG pipelines), guide and upskill teams responsible for delivery — your role is to transfer capability, not accumulate it.
Assess incoming use cases and route them correctly: straightforward AI agent builds, strategic projects needing deeper support, and cases that belong in data science or other disciplines.
Deliver structured workshops and a best‑practice guide for coding assistant adoption (GitHub Copilot, Cursor) across engineering teams.