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AI Practice Lead - London | Hybrid | flexible salary + package
We’re currently supporting a consultancy that is investing heavily in growing its UK AI capability. They already have an established global AI practice delivering complex programmes across regulated industries, and are now looking for someone to become the face of that capability within the UK.
This is a genuine opportunity to build something. You'll be responsible for leading and growing the UK AI practice, working closely with customers to shape AI solutions, supporting pre-sales activity and helping develop a high-performing team, whilst remaining technically credible enough to guide delivery when required.
Key Responsibilities
- Lead the growth and development of the UK AI Practice, helping shape strategy, capability and market presence.
- Engage with clients to understand business challenges and identify where AI can deliver measurable value.
- Lead discovery sessions, solution design and technical workshops with senior stakeholders.
- Design pragmatic AI solutions across Generative AI, Agentic AI, LLMs, RAG and modern cloud platforms.
- Provide architectural guidance and technical leadership throughout delivery programmes.
- Remain hands-on where required, supporting engineering teams on complex engagements.
- Work closely with internal sales, bids and marketing teams to support new business opportunities.
- Collaborate with global delivery teams to ensure successful project execution.
- Recruit, mentor and grow the UK AI capability as customer demand increases.
- Contribute to thought leadership and the development of reusable AI offerings and accelerators.
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Essential Experience
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- Previous experience leading or building an AI, Data or Emerging Technology practice within a consultancy.
- Strong consulting background with experience working directly with enterprise customers.
- Technical background in Software Engineering, Solution Architecture or Data Engineering before moving into AI.
- Experience designing enterprise AI solutions using technologies such as:
- Generative AI
- Large Language Models (LLMs)
- Retrieval Augmented Generation (RAG)
- Agentic AI
- Cloud AI Services (Azure, AWS or Google Cloud)
- Comfortable engaging with both technical and non-technical stakeholders.
- Experience supporting pre-sales, solution shaping and customer workshops.
- Strong understanding of modern data platforms and how data underpins successful AI initiatives.
- Ability to remain technically involved whilst operating in a leadership position.
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