About this role
Salary: £100,000 - 110,000 per year
Requirements
- Experienced AI enablement professional with strong technical expertise and the ability to coach and empower others.
Responsibilities
- Design and deliver hands-on workshops where participants build and deploy AI agents and solutions.
- Coach engineers and domain experts to identify valuable AI use cases, define requirements, and develop initial solutions independently.
- Assess AI opportunities, identifying quick wins, cases needing architectural support, and use cases better suited to other disciplines.
- Develop technical training materials on RAG, AI agent design, prompt engineering, and API integration, using real business scenarios.
- Provide live technical support, debugging, and troubleshooting during workshops while helping participants build their problem-solving skills.
- Embed security, data classification, human oversight, audit requirements, and compliance into AI solution design.
- Train teams to navigate technology release processes independently, including documentation, governance checklists, and production standards.
- Identify gaps in processes, documentation, and governance frameworks, and work with Architecture, AI, and platform teams to address them.
- Support technical innovators throughout the AI use-case lifecycle, from opportunity identification and prototyping to escalation of complex builds.
- Route use cases appropriately, distinguishing between team-led agent builds, strategic technical projects, and work requiring data science expertise.
- Deliver workshops and best-practice guidance for coding assistants such as GitHub Copilot and Cursor; this is a secondary responsibility, accounting for approximately 20% of the role when capacity allows.
Technologies
- AI
- AI Agents
- API
- Copilot
- Cursor
- Embedded
- GitHub
- Support
- RAG
- Security
More
We are seeking an AI Enablement Lead to drive AI adoption and technical capability across a Technology function of more than 1,000 people in a large, international organisation. This is a hands-on coaching and upskilling role focused on helping engineers, product teams, and domain experts develop, deploy, and govern their own AI solutions using our internal AI platform. The role will help move adoption from early experimentation to confident everyday practice, with security, data governance, and compliance embedded from the outset.
last updated 44 week of 2026