AI Enablement Lead
On-siteLondon, England, United Kingdom or Stockholm, Stockholm, Sweden
Job Summary
Design and deliver hands-on technical workshops where participants build and ship working AI agents themselves, not watch demonstrations. Coach engineers and domain experts through identifying real use cases, scoping them rigorously, and building their first solutions on the internal KAIT platform. Run structured AI opportunity audits to help teams assess quick wins versus complex projects requiring Architect-level guidance. Ensure security, data governance, and compliance are embedded into every use case from the start, training teams on data classification and audit requirements as part of their design process. Upskill teams on the Technology Release Process so they can self-serve by preparing documentation and meeting production standards without hand-holding. Identify gaps in existing processes or documentation and work with relevant owners to close them through training and upskilling.
Required Qualifications
- 4–7 years in a hands-on technical role — 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 with at least one low-code/no-code automation platform (e.g. n8n)
- Strong prompt engineering knowledge: system-level prompts, structured output, chain-of-thought, evaluation techniques
- ability to teach prompt engineering concepts 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
- Track record of delivering technical workshops where participants built tangible solutions themselves
- Ability to translate complex technical concepts clearly for non-technical audiences
- ability to present credibly to senior stakeholders
- 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
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