AI GovernanceleadLondon Area, United KingdomonsitecontractGambling Facilities and CasinosRAG pipelinesAI agent designprompt engineeringAPI integrationdata governancesecurity complianceposted
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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