Job Description Purpose of the role: To design, build and operationalise Copilot‑based and LLM‑powered solutions, focusing on secure engineering, enterprise integration and reusable accelerators that reduce vendor dependency and increase internal delivery velocity. Key Accountabilities Role Specific Accountabilities Design, develop and maintain Copilot solutions, intelligent agents, plugins, connectors and LLM workflows (e.g., Copilot Studio). Build scalable components (prompt orchestration, retrieval layers, automation flows, model interfaces, validation pipelines). Integrate with enterprise systems/APIs/data platforms, ensuring security, resilience and architecture alignment. Conduct rapid prototyping to validate feasibility, model behaviour, UX and performance. Implement secure‑by‑design and responsible AI practices (guardrails, controls, monitoring, auditability). Develop/optimise RAG components, embeddings, vector queries and metadata strategies for accuracy/reliability. Implement observability: logging, telemetry and LLM monitoring for quality and incident triage. Create reusable assets (prompt libraries, agent templates, connectors, test harnesses) and documentation. Translate design artefacts into build‑ready specifications and aligned solution designs. Co‑define test strategies and model performance thresholds with the AI Test Lead. Contribute to cross‑functional design/architecture reviews and standards evolution. Mentor colleagues and enable pro‑/low‑/no‑code teams to adopt AI safely. Ensure responsible AI principles (e.g., transparency, explainability, ISO42001) are incorporated into all development. Provide insight to support business cases, investment decisions, risk assessments, and prioritisation discussions at AI governance forums. Collaborate with teams to ensure all AI development work is implementable, sustainable and aligned to enterprise architecture. Maintain a library of development artefacts, patterns and re‑usable assets to support repeatability and uplift maturity across the AI Foundry. Managing escalations supporting the wider Data & AI Leadership team. Shared Accountabilities Translate Divisional priorities into plans and deliverables to deliver overall Group strategic priorities Build the capability & capacity of functional resources to drive sustained commercial success Interpret & communicate the priorities for the Function, motivating and developing a high performing team Own functional priorities, applying specialist expertise to put the customer at the heart of everything and drive a profitable business Initiate and develop critical external and internal relationships which create value, collaborating to deliver commercial and customer priorities Uphold corporate legal & regulatory responsibilities Implement and manage transformation activity & harness innovation to create a high performing & sustainable business