• Explore and evaluate emerging AI tools, platforms, and agent-based solutions to identify opportunities for the business.

• Design, build, and integrate AI-powered workflows, services, and applications into enterprise systems.

• Help shape and develop internal AI platforms, including agent architectures, permissions, and governance guardrails.

• Guide AI initiatives through structured evaluation and approval processes, ensuring alignment with technical and governance standards.

• Collaborate with teams across Architecture, Security, DevOps, Legal, Privacy, and the wider business to deliver well-rounded AI solutions.

• Translate complex or ambiguous business needs into clear technical requirements, success metrics, and deliverables.

• Monitor performance, adoption, and usage of AI solutions, identifying trends, risks, and opportunities for optimisation.

• Maintain clear documentation, including AI use cases, tool registries, and lifecycle records, ensuring audit-ready standards.

• Support the development of a centralised AI knowledge base to drive consistency and accelerate adoption across teams.

• Contribute to continuous improvement of AI governance, development practices, and delivery frameworks.

• Experience across software engineering, AI/ML, or related enterprise technology environments.

• Strong hands-on development skills (e.g., Python and/or TypeScript/Node.js), with experience building APIs, services, and integrations.

• Practical experience working with Generative AI and LLM-based applications (e.g., agents, embeddings, prompt design, RAG architectures).

• Familiarity with leading AI platforms and models (e.g., OpenAI, Anthropic, Microsoft Copilot, Google Gemini, or similar cloud AI services).

• An understanding of how to design and orchestrate AI-driven workflows or automation solutions within business environments.

• A structured and analytical mindset, with the ability to turn complex ideas into clear, actionable outputs.

• Strong documentation and organisational skills, with attention to detail and an ability to create audit-ready artefacts.

• Awareness of governance, risk, and compliance concepts, particularly in relation to AI, data, and security.

• Solid understanding of modern development practices (e.g., Git, CI/CD, cloud environments, containerisation).

• Strong communication skills, with the ability to collaborate effectively across technical and non-technical stakeholders.

• A proactive, curious mindset and a passion for staying up to date in the rapidly evolving AI landscape.

What you'll gain