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.