AI Agent Enablement Lead

This is a 6-month engagement based in London (3 days per week onsite), focused on shaping and scaling AI agents and copilots across a large and complex organisation. The day rate is competitive for the market and reflects the seniority and impact of the role.

Why this role stands out

• Work at the forefront of AI agents and copilots in a real production environment, not just POCs or strategy decks.
• Drive tangible automation and augmentation across business, operational, digital and data teams.
• Shape governance, best practice and AI ways of working for a major public sector body.
• Use and experiment with platforms like Microsoft Copilot, Copilot Studio, Azure AI, OpenAI GPTs and Claude.

The core of the role

• Lead the adoption and integration of AI agents across a large workforce.
• Help business areas identify high-value use cases for AI agents and workflow automation.
• Provide hands-on support to teams building and deploying agents, custom GPTs, Copilot agents and similar solutions.
• Develop reusable patterns, templates, prompts and governance frameworks to accelerate safe development.
• Establish best practices for agent design, evaluation, monitoring and continuous improvement.
• Act as a key voice on responsible AI, governance, risk management and compliance.
• Track adoption, productivity gains and business outcomes to evidence impact and ROI.

What they are looking for

• Hands-on experience building or configuring AI assistants/agents/copilots, custom GPTs or workflow automations using no-code / low-code or similar tools.
• Background leading digital transformation, innovation or AI adoption programmes.
• Solid understanding of business processes, change and stakeholder management.
• Practical experience with generative AI and large language models.
• Ability to translate business challenges into workable AI solutions, working across both technical and non-technical teams.
• A proactive, curious approach to learning, including willingness to build further skills in tools and programming (for example, Python).

Nice to have

• Experience with Microsoft Copilot, Copilot Studio, Azure AI Foundry, Power Platform or similar.
• Exposure to OpenAI GPTs/Assistants/APIs, Claude Projects/Artifacts or related ecosystems.
• Familiarity with APIs, scripting or languages such as Python to prototype or integrate AI solutions.
• Awareness of agent orchestration, prompt engineering, RAG and AI evaluation techniques.
• Experience delivering AI capability-building or upskilling programmes, particularly in the public sector.

This is not a traditional software engineering role - it sits at the intersection of strategy, transformation and hands-on AI build. It would particularly suit someone who enjoys working with stakeholders, shaping direction, and still getting close enough to the technology to make things actually work in practice.