At a Glance
- Tasks: Coach teams to build and govern AI solutions, running hands-on workshops and audits.
- Company: Join a leading tech firm focused on AI innovation and team empowerment.
- Benefits: Enjoy well-being allowances, learning opportunities, social events, and private medical insurance.
- Other info: Be part of a vibrant culture with excellent career growth and inclusion networks.
- Why this job: Shape the future of AI while empowering others in a dynamic environment.
- Qualifications: 4-7 years in technical roles with strong coaching and AI experience.
The predicted salary is between 60000 - 80000 £ per year.
We are looking for an AI Enablement Lead to coach teams across OBG’s Technology function to become self‑sufficient at building, testing, documenting, and governing AI solutions. The lead will drive adoption of the internal AI platform (KAIT) from early‑adopter usage into mainstream practice, run workshops, coach teams through scoping and delivery, and embed security, data governance, and release processes from the start.
Key Responsibilities
- Technical Coaching & Upskilling
- Design and deliver hands‑on workshops where participants build and ship AI agents.
- Coach engineers and domain experts through use‑case identification, rigorous scoping, and building first solutions on KAIT.
- Run structured AI opportunity audits to identify quick wins, need for architect‑level guidance, or non‑viable cases.
- Create training content on RAG, AI‑agent design, prompt engineering, and API integration tailored to a Tech audience.
- Provide floor support during workshops – live debugging and troubleshooting to help participants solve problems.
- Governance, Security & Process
- Ensure security, data governance, and compliance are embedded from the outset of every use case.
- Teach teams to consider data classification, human oversight, and audit requirements during design.
- Upskill teams on the OBG Technology Release Process, including documentation, governance checklists, and production standards.
- Identify gaps in existing processes and collaborate with owners and platform teams to close them.
- Use‑Case Pipeline & Enablement at Scale
- Coach tech innovators through the full lifecycle – from value identification to prototyping and hand‑off for architect support.
- Assess incoming use cases and route them appropriately (self‑owned builds, strategic projects, or data‑science domain).
- Developer Productivity (Secondary – ~20% of time)
- Deliver workshops and best‑practice guides for coding‑assistant adoption (e.g., GitHub Copilot, Cursor) across engineering teams.
- Act as the single point of contact for AI capability uplift across a Tech function of over 1,000 people.
- Shape the standard for AI adoption, defining processes, governance habits, and quality standards.
- Regulated, High‑Stakes Environment
- Embed security and governance as baseline requirements for all AI initiatives within an igaming context.
What We’re Looking For
The strongest candidates will have spent several years building production systems, then moved into a role where they’ve enabled others to do the same. They excel at translating complex technical concepts for non‑technical audiences, challenge senior stakeholders when a use case is unsuitable, and drive governance from the start.
Qualifications
- 4–7 years in a hands‑on technical role such as data engineering, AI/ML engineering, solutions architecture, or DevOps.
- Subsequent move into 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).
- Strong prompt‑engineering knowledge, including system‑level prompts, structured output, chain‑of‑thought, and evaluation techniques.
- Solid understanding of enterprise integration patterns: REST APIs, OAuth/SSO, rate limiting, and data flow.
- Demonstrable commitment to governance and process – embedding security, data classification, and compliance; flagging gaps.
- Track record of delivering technical workshops where participants built tangible solutions.
- Ability to present credibly to senior stakeholders.
- Highly desirable: Experience in a regulated industry (igaming, fintech, or financial services).
- Hands-on n8n experience for production automation.
- Familiarity with MCP 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.
Benefits
- Well‑being allowance
- Learning and development opportunities
- Inclusion networks
- Charity days
- Long‑service awards
- Social events and activities
- Private medical insurance
- Life assurance and income protection
- Employee Assistance Programme
- Pension
AI Enablement Lead employer: FDJ UNITED
FDJ UNITED is an exceptional employer located in the vibrant Greater London area, offering a collaborative work culture that values innovation and employee development. With a focus on meaningful change and automation, employees are provided with ample opportunities for growth and skill enhancement, making it an ideal place for those looking to advance their careers in People Systems. The company's commitment to supporting a diverse workforce ensures a rewarding and inclusive environment for all team members.
StudySmarter Expert Advice🤫
We think this is how you could land AI Enablement Lead
✨Tip Number 1
Get your networking game on! Connect with folks in the industry, especially those already working in AI or tech roles. Attend meetups, webinars, and workshops to make those valuable connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially any hands-on work with AI solutions or workshops you've led. This will give potential employers a taste of what you can do and how you can help their teams.
✨Tip Number 3
Don’t just apply – engage! When you find a role that excites you, reach out to current employees on LinkedIn. Ask them about their experiences and share your enthusiasm for the position. This personal touch can set you apart from other candidates.
✨Tip Number 4
Keep learning and adapting! Stay updated on the latest trends in AI and tech. Join online courses or workshops to upskill, and don’t forget to mention these in your conversations with potential employers. It shows you're proactive and committed!
We think you need these skills to ace AI Enablement Lead
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in AI enablement and technical coaching. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Showcase Your Workshops:If you've run workshops or training sessions before, let us know! Share specific examples of how you’ve helped teams build and deploy AI solutions. This will really help us see your hands-on experience in action.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your technical expertise and how you can drive AI adoption. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at FDJ UNITED
✨Know Your AI Stuff
Make sure you brush up on your AI knowledge, especially around building and deploying AI agents. Be ready to discuss your hands-on experience with low-code/no-code platforms like n8n, and how you've coached others in this area.
✨Showcase Your Coaching Skills
Prepare examples of how you've successfully coached technical teams in the past. Think about specific workshops you've run or training content you've created that helped others understand complex concepts.
✨Understand Governance and Security
Since this role emphasises governance and security, be prepared to discuss how you've embedded these elements into your previous projects. Highlight any experience you have with compliance and data classification.
✨Engage with Stakeholders
Practice how you'll present your ideas to senior stakeholders. You need to demonstrate your ability to challenge unsuitable use cases and communicate effectively with both technical and non-technical audiences.
