About the Role
We are seeking an AI Enablement Lead to empower teams to build and deploy AI solutions independently. This is a hands-on coaching and upskilling role requiring deep technical knowledge of production AI systems to train others in building, testing, documenting, and governing their own solutions. You will drive the adoption of our internal AI platform (KAIT) across the Technology function, facilitating workshops, coaching teams, and embedding security, data governance, and release processes from the outset.
Responsibilities
- Design and deliver hands-on technical workshops where participants build and deploy working AI agents.
- Coach engineers and domain experts in identifying use cases, scoping, and building solutions on KAIT.
- Run structured AI opportunity audits within Tech teams to identify quick wins and complex projects.
- Create technical training content on topics like RAG, AI agent design, prompt engineering, and API integration.
- Provide live debugging and troubleshooting support during workshops.
- Ensure security, data governance, and compliance are embedded into every use case from the start.
- Upskill teams on OBG’s Technology Release Process for self-service.
- Identify and flag gaps in existing processes, documentation, or governance frameworks.
- Coach Tech Innovators through the full lifecycle of AI use case development.
- Guide and upskill teams on high-complexity use cases rather than owning the build.
- Assess incoming use cases and route them to the appropriate teams or disciplines.
- Deliver workshops and best-practice guides for coding assistant adoption.
- Deprioritize developer productivity work if the main AI enablement pipeline requires full capacity.
Requirements
- 4–7 years in a hands-on technical role (data engineering, AI/ML engineering, solutions architecture, or DevOps) with subsequent experience in enablement, consultancy, or internal transformation.
- Proven experience coaching technical teams to build and deploy AI agents or RAG pipelines in production.
- Hands-on experience with at least one low-code/no-code automation platform (e.g., n8n) sufficient for training.
- Strong prompt engineering knowledge and the ability to teach these concepts.
- Solid understanding of enterprise integration patterns (REST APIs, OAuth/SSO, rate limiting, data flow).
- Demonstrable commitment to governance and process, embedding security, data classification, and compliance.
- Track record of delivering technical workshops where participants built tangible solutions.
- Ability to translate complex technical concepts clearly for non-technical audiences and present credibly to senior stakeholders.
- Experience in a regulated industry (igaming, fintech, or financial services) is highly desirable.
- Hands-on n8n experience for production workflow automation is highly desirable.
- Familiarity with MCP or similar frameworks for connecting AI agents to enterprise systems is highly desirable.
- Experience with LLM providers (OpenAI, Anthropic) for inference and evaluation is highly desirable.
- Working knowledge of vector databases, embedding models, and semantic search is highly desirable.
- Experience with coding assistants (GitHub Copilot, Cursor) in a developer productivity context is highly desirable.
- Multi-site or international delivery experience is highly desirable.
Skills
- AI Enablement
- Technical Coaching
- AI Solution Deployment
- Production AI Systems
- AI Platform Adoption
- Workshop Facilitation
- RAG (Retrieval-Augmented Generation)
- AI Agent Design
- Prompt Engineering
- API Integration
- Debugging
- Troubleshooting
- Governance
- Security
- Data Governance
- Compliance
- Release Processes
- Use Case Development
- Low-code/No-code Automation
- Enterprise Integration Patterns
- REST APIs
- OAuth/SSO Authentication
- Rate Limiting
- Data Classification
- Human Oversight
- Audit Requirements
- Technology Release Process
- Developer Productivity
- Coding Assistants
- GitHub Copilot
- Cursor
- n8n
- MCP (Model Context Protocol)
- LLM Providers
- OpenAI
- Anthropic
- Vector Databases
- Embedding Models
- Semantic Search
Location
- Remote
Work Type
- Full-time
Experience Level
- 4-7 years
About the Company
- 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.
- The Group has more than 5,000 employees and operates in approximately fifteen regulated markets.
- FDJ UNITED offers a diversified, responsible range of games, both under exclusive rights and open to competition.
- The company sets new standards, proving that entertainment and safety can go hand in hand.
- OBG operates in igaming under strict regulatory oversight, where security and governance are baseline requirements.
Equal Opportunity
- We believe talent knows no boundaries. Our hiring process focuses solely on your skills, experience, and potential to contribute to our team. We welcome applicants from all backgrounds and evaluate each candidate based on merit, regardless of personal characteristics as the age, gender, origin, religion, sexual orientation, neurodiversity or disability.
