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AI Enablement Lead

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: FDJ UNITED
Full Time position
Listed on 2026-09-30
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 90000 - 130000 GBP Yearly GBP 90000.00 130000.00 YEAR
Job Description & How to Apply Below

FDJ UNITED operates in igaming under strict regulatory oversight. Security and governance are not optional extras here — they are the baseline.

About the Role

FDJ United is hiring an AI Enablement Lead to drive enterprise AI transformation across our Tech function of 1,000+ people, based in South Wimbledon, London. This is a rare opportunity for a Technical AI Coach or AI Adoption Lead who has spent years building production systems and now wants to make entire engineering organisations better at doing the same.

This is not a lecture-based training role. As our AI Enablement Lead
, you will be hands‑on — coaching engineers, running live workshops, and embedding governance and security into every AI use case from day one. You will define what good looks like for enterprise AI enablement in a regulated iGaming environment.

If you are an experienced AI Implementation Lead or AI Transformation Lead who thrives in fast‑paced, high‑stakes environments and has a strong instinct for teaching rather than doing, this role is for you.

Responsibilities
Technical Coaching & Upskilling
  • Design and deliver hands‑on technical workshops for Tech teams as a Technical AI Coach — the kind where participants build and ship working AI agents themselves, not watch someone else do it
  • Coach engineers and domain experts through identifying real use cases in their function, scoping them rigorously, and building their first working solutions on KAIT — your success is measured by what they can do independently
  • Run structured AI opportunity audits within Tech teams: helping teams assess which use cases are 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

#AIAgent

Design #RAG Pipeline #Prompt Engineering #AI Workshop

Facilitator #TechnicalAICoach #APIIntegration

Governance, Security & Process
  • As an Enterprise AI Enablement specialist, ensure security, data governance, and compliance are embedded into every use case from the start — not treated as a gate at the end
  • 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

#AI Governance #Data Governance #AI Compliance #EnterpriseAISecurity #RegulatedIndustryAI

  • 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 as an AI Transformation Lead 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
Developer Productivity (Secondary — ~20% of Time)
  • Deliver structured workshops and a best‑practice guide for coding assistant adoption (e.g.
    Git Hub Copilot
    , Cursor
    ) across engineering teams
  • Engineering team leads retain…
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