AI Enablement Lead

Tate; City Of London; Hybrid; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Tate in London seeks an AI Enablement Lead to empower engineering and product teams to build, deploy and govern AI solutions with practical impact. You will run hands-on workshops, coach teams on AI use cases, and develop enablement programmes across a technology function exceeding 1,000 people.

The role focuses on turning experimentation into production-ready capabilities, embedding governance and responsible AI, and working with senior stakeholders to drive broad adoption.

Qualifications

• Experience moving from hands-on technical roles into enablement, consultancy or training.
• Background in Software/Data/AI engineering, solutions architecture, or DevOps.
• Strong understanding of production AI solutions, not just concepts.
• Experience with AI Agents, RAG, LLMs, APIs and automation tools.
• Ability to explain technical concepts to technical and non-technical audiences.
• Experience delivering workshops where attendees build working solutions.
• Solid understanding of SDLC, governance and delivery processes.
• Some coding knowledge with Python and SQL.

Responsibilities

• Run hands-on AI workshops where teams build tangible solutions.
• Coach engineering and product teams on AI use cases and prioritisation.
• Help teams understand and implement AI technologies (LLMs, APIs, automation).
• Create training content, modules and enablement programmes.
• Support teams through idea to production deployment lifecycle.
• Embed governance, security, compliance and responsible AI practices.
• Work with senior stakeholders to drive adoption and capability.
• Assess capability gaps and build programmes to address them.

Skills

Enablement

Workshop facilitation

Stakeholder influence

SDLC governance

Python

SQL

Technical depth

Tools

GitHub Copilot

Cursor

n8n

AWS

Job description

AI Enablement Lead

South West London (Hybrid, 2 days per week)

12 month FTC with strong potential for extension or a longer term opportunity

I'm working with a large international business in a heavily regulated sector that is making significant investment in AI. As part of this journey, they're looking to hire an AI Enablement Lead into a newly created role.

This isn't an AI Engineer role where you'll spend your time building solutions for the business. It's also not a traditional training role.

The focus is on enabling technical teams to build, deploy and govern AI solutions themselves.

You'll be working across a technology function of over 1,000 people, helping engineering, product and technology teams move from experimenting with AI to using it in a meaningful way day to day. You'll identify capability gaps, build learning programmes, run hands on workshops and help teams turn ideas into real, production ready solutions.

The key thing is that people leave your workshops having actually built something. You're not standing at the front demoing a tool for an hour. You're coaching teams through building solutions themselves and giving them the confidence to continue without you.

As a result, we're looking for someone with genuine technical depth who can also facilitate, coach and influence others.

What you'll be doing

• Running hands on AI workshops where teams build tangible solutions during the session
• Coaching engineering and product teams on identifying and prioritising AI use cases
• Helping teams understand and implement technologies such as AI Agents, RAG, LLMs, prompt engineering and automation tools
• Creating training content, learning modules and enablement programmes
• Supporting teams through the full lifecycle from idea through to production deployment
• Embedding best practice around governance, security, compliance and responsible AI usage
• Working with senior stakeholders to drive adoption and improve AI capability across the organisation
• Assessing capability gaps and building programmes to address them
• Helping development teams get greater value from tools such as GitHub Copilot and Cursor

What we're looking for

• Experience moving from a hands on technical role into enablement, consultancy, transformation, coaching or training
• A background in Software Engineering, Data Engineering, AI Engineering, Solutions Architecture, Platform Engineering or DevOps
• Strong understanding of production AI solutions, not just AI concepts and demos
• Experience with AI Agents, RAG, LLMs, APIs, MCP, automation platforms and modern AI tooling
• The ability to explain technical concepts to both technical and non technical audiences
• Experience delivering workshops where attendees build working solutions themselves
• Strong understanding of SDLC, governance and delivery processes
• Comfortable challenging stakeholders and influencing at all levels
• Experience helping organisations move from AI experimentation into genuine adoption
• Ideally some coding knowledge with technologies such as Python and SQL

Nice to have

• Experience within gaming, fintech, financial services or other regulated environments
• AWS experience
• Exposure to vector databases, embeddings and semantic search
• Experience with GitHub Copilot, Cursor or similar AI coding assistants
• Experience with low code automation tools such as n8n
• Experience delivering training or enablement programmes across large organisations
• Experience supporting international or multi-site teams

Why join?

• Brand new role with the opportunity to shape AI adoption across a technology function of 1,000+ people
• Significant visibility and influence across engineering and leadership teams
• The chance to define what good AI adoption looks like within the organisation
• Work with modern AI technologies, platforms and tooling
• Join a business investing heavily in AI capability and innovation
• High impact role with strong executive support
• 12 month FTC with strong potential for extension or a longer term opportunity

This role would suit someone who has spent years building software, data or AI solutions and has realised they get just as much satisfaction from helping others do the same. You need enough technical depth to challenge engineers on a RAG architecture, discuss LLMs, APIs and integrations confidently, and troubleshoot issues in a workshop environment. Most importantly, you'll be passionate about enabling others to succeed rather than being the person who builds everything yourself.

Tate is acting as an Employment Business in relation to this vacancy.

Tate is committed to promoting equal opportunities. To ensure that every candidate has the best experience with us, we encourage you to let us know if there are any adjustments we can make during the application or interview process. Your comfort and accessibility are our priority, and we are here to support you every step of the way. Additionally, we value and respect your individuality, and we invite you to share your preferred pronouns in your application.