AI Enablement Lead
Listed on 2026-07-17
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IT/Tech
AI Engineer (Applied/Software), IT Consultant
AI Enablement Lead
At FDJ UNITED, we don't just follow the game, we reinvent it. FDJ UNITED is one of Europe's leading betting and gaming operators, with a vast portfolio of iconic brands and a reputation for technological excellence. With more than 5,000 employees and a presence in around fifteen regulated markets, the Group offers a diversified, responsible range of games, both under exclusive rights and open to competition.
We set new standards, proving that entertainment and safety can go hand in hand. Here, you'll work alongside a team of passionate individuals dedicated to delivering the best and safest entertaining experiences for our customers every day. We're looking for bold people who are eager to succeed and ready to level-up the game. If you thrive on innovation, embrace challenges, and want to make a real impact at all levels, FDJ UNITED is your playing field.
Join us in shaping the future of gaming. Are you ready to LEVEL-UP THE GAME?
About the RoleWe are looking for an AI Enablement Lead who can make teams self-sufficient in building and deploying AI solutions—not someone who builds for them. This is a coaching and upskilling role with genuine technical depth. You need to know how production AI systems work so you can credibly train others to build, test, document, and govern their own. You will work across OBG's Technology function, driving adoption of our internal AI platform (KAIT) from early-adopter usage into mainstream, habitual practice.
That means running workshops where people leave having built working solutions themselves, coaching product and engineering teams through scoping and delivering their own AI use cases, and ensuring that security, data governance, and release processes are embedded from the very first conversation—not bolted on at the end. Today, roughly 20% of employees generate 80% of AI platform activity. Your job is to close that gap within Tech—upskilling teams so they move from occasional use to confident, governed, daily AI-assisted working.
Where you spot gaps in process, documentation, or governance, you flag them and work with the relevant owners to close them.
- Technical Coaching & Upskilling
- Design and deliver hands-on technical workshops for Tech teams—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 after you've worked with them.
- Run structured AI opportunity audits within Tech teams: helping teams assess which use cases are quick wins they can deliver themselves, which need Architect-level guidance, and which are not worth pursuing.
- Create technical training content covering topics such as RAG (connecting AI to internal knowledge bases), 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.
- Governance, Security & Process
- 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.
- Upskill teams on OBG's Technology Release Process so they can self-serve: preparing documentation, completing governance checklists, and meeting production standards without needing hand-holding.
- Identify gaps in existing processes, documentation, or governance frameworks and flag them to the relevant owners. Where guidance is missing or unclear, work with A&I and platform teams to close those gaps through training and upskilling.
- Use Case Pipeline & Enablement at Scale
- Coach Tech Innovators (domain experts building use cases) through the full lifecycle: from identifying where AI adds genuine value, through scoping and prototyping, to handing off complex builds for…
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