About the Company
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
#AIAgentDesign #RAGPipeline #PromptEngineering #AIWorkshopFacilitator #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
#AIGovernance #DataGovernance #AICompliance #EnterpriseAISecurity #RegulatedIndustryAI
Use Case Pipeline \& Enablement at Scale
* 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
#MCPModelContextProtocol #RAGPipelineEngineer #EnterpriseAITransformation #AIAgentDeveloper #AIScaleEnablement
Developer Productivity (Secondary — ~20% of Time)
* Deliver structured workshops and a best-practice guide for
coding assistant adoption
(e.g.
GitHub Copilot
,
Cursor
) across engineering teams
* Engineering team leads retain accountability for sustained adoption in their teams
* This is a secondary workstream — deprioritised if the main
AI enablement
pipeline requires full capacity
#GitHubCopilot #CodingAssistant #DeveloperProductivity #CursorAI #CodingAssistantAdoption
Qualifications
Essential
* 4–7 years in a hands-on technical role — data engineering, AI/ML engineering, solutions architecture, or DevOps — with a subsequent move into 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 yourself.
* 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: you embed security, data classification, and compliance into how teams work, and you flag gaps when processes are missing or unclear.
* 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.
#PromptEngineeringLead #n8nAutomation #LowCodeNoCode #DataEngineering #AIMLEngineering #SolutionsArchitecture #DevOps #APIIntegrationSpecialist
Highly Desirable
* Experience in a regulated industry: igaming, fintech, or financial services.
* Hands-on n8n experience for production workflow automation.
* Familiarity with MCP (Model Context Protocol) or similar frameworks for connecting AI agents to enterprise systems.
* Experience with LLM providers (OpenAI, Anthropic) for inference and evaluation.
* Working knowledge of vector databases, embedding models, and semantic search.
* Experience with coding assistants (GitHub Copilot, Cursor) in a developer productivity context.
* Multi-site or international delivery experience.
#AI Adoption Facilitator in London #AI Enablement Program Lead In London #AI enablement in London #AI change lead in London #Experienced AI Engineer #iGamingAI #EnterpriseAI #AIAdoptionLead #TechLeadLondon #AIImplementationLead #AIEnablementLead
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