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AI Agent Enablement Lead
Role: AI Agent Enablement Lead
Contract Length: 6 months Location: London, 3 days per week
The client is looking for candidates with:
- Experience building AI agents
- Knowledge of programming languages
- Experience with coding
- Exposure to AI technologies, with practical experience in building solutions rather than simply discussing AI concepts.
- Experience with Microsoft, automation workloads, cloud, Phyton (NOT a software engineer)
Role Purpose
The AI Agent Enablement Lead will drive the design, development, and scaling of AI agents across the Ministry of Justice and its agencies. The role will help teams identify opportunities to automate, augment, and improve services through AI-powered agents, assistants, and workflows.
Working across business, operational, digital, and data teams, the post holder will support the development, deployment, governance, and adoption of agent-based solutions built on platforms such as Microsoft Copilot, Copilot Studio, Azure AI Foundry, OpenAI GPTs, Claude, and future AI technologies.
The role combines strategic leadership, business transformation, stakeholder engagement, and hands-on support to ensure AI agents deliver measurable value while meeting security, governance, and ethical standards.
This is not a traditional software engineering role. We are looking for candidates who are curious about how technology works and motivated to build their technical skills over time, including developing experience with tools and programming.
You may already have experience using no-code or low-code tools such as Copilot Studio, Power Platform, or custom GPTs, or be developing your technical skills further, for example with languages such as Python. What matters most is a willingness to experiment, learn, and work closely with technical specialists to deliver practical AI solutions.
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Key Responsibilities
- Lead the adoption and integration of AI agents across the Ministry of Justice workforce.
- Support business areas in identifying high-value use cases for AI agents and workflow automation.
- Provide hands-on support to teams creating and deploying AI agents, custom GPTs, Copilot agents, and other AI-powered solutions.
- Develop reusable patterns, templates, prompts, and governance frameworks to accelerate safe agent development.
- Collaborate with digital, data science, product, and operational teams to develop scalable AI solutions.
- Establish best practices for agent design, evaluation, monitoring, and continuous improvement.
- Build strong relationships with internal and external stakeholders to promote AI innovation and secure buy-in.
- Provide expert guidance on responsible AI, governance, risk management, and compliance requirements.
- Monitor adoption, user satisfaction, productivity gains, and business outcomes to demonstrate impact and ROI.
- Keep abreast of developments across the AI ecosystem, including Microsoft, OpenAI, Anthropic, Google, and emerging agent frameworks.
Essential Skills and Experience
- Hands-on experience designing, configuring, prototyping or supporting the deployment of AI assistants, agents, copilots, custom GPTs or workflow automation solutions, using no-code, low-code or similar agent-building platforms.
- Experience leading digital transformation, innovation, or AI adoption programmes.
- Strong understanding of business process improvement and organisational change.
- Practical experience with generative AI technologies and large language models.
- Ability to translate business challenges into practical AI-enabled solutions.
- Excellent stakeholder management and communication skills.
- Strong analytical skills with the ability to measure and communicate value and outcomes.
- Ability to work across technical and non-technical teams.
- A proactive approach to learning and upskilling, with curiosity and willingness to develop technical skills in emerging AI tools and platforms (including coding).
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Desirable Skills and Experience
- Experience with Microsoft Copilot, Copilot Studio, Azure AI Foundry, Power Platform, or related Microsoft AI technologies.
- Experience with OpenAI GPTs, Assistants, APIs, Claude Projects, Claude Artifacts, or similar platforms.
- Experience using APIs, scripting or programming languages such as Python, to prototype or integrate AI-enabled solutions.
- Knowledge of agent orchestration, prompt engineering, retrieval-augmented generation (RAG), and AI evaluation techniques.
- Experience delivering AI capability-building, learning, or upskilling programmes.
- Understanding of responsible AI principles, governance frameworks, and public sector compliance requirements.
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