UK remote
AI & Agentic Automation Manager
About this role
The Role: Frasers Group Financial Services is building a lean AI capability to develop practical, agentic automation solutions across the business. The AI & Agentic Automation Manager will lead this capability, working across technology, AI engineering and business teams to identify opportunities, design solutions, and support adoption. The longer-term aim is to establish reusable patterns that help engineering move towards AI-enabled development and execution.
This is a hands-on leadership role for someone who can experiment, build, integrate and apply emerging AI technology to real business problems. Key Responsibilities: AI & Agentic Capability Develop AI and agentic solutions from concept through to production. Identify opportunities to improve business performance through AI, automation and intelligent agents. Design scalable solutions using models, data, automation and system integrations.
Evaluate emerging technologies and establish best-practice delivery approaches. Agent Design & Integration Design and implement AI agents and automated workflows that support decision-making and business processes. Integrate agents with internal and external systems, including emerging frameworks such as MCP. Build feedback mechanisms to continuously improve performance and adoption. Business Process Transformation Working closely with business teams, this role will redesign processes and embed AI-enabled ways of working.
Identify and transform manual or inefficient processes through AI and automation. Translate business requirements into practical technical solutions and support adoption. Measure impact and drive continuous improvement. Team Leadership Lead and develop the AI and automation capability, setting priorities, standards and ways of working. Coach team members and support the growth of the function over time. AI Governance & Control Establish appropriate governance, testing and validation standards without limiting innovation.
Monitor AI performance, security, access controls and outcomes, ensuring effective human oversight. Apply responsible AI principles, auditability and ongoing maintenance. Essential Experience Leading AI, automation or intelligent technology initiatives. Microsoft Copilot, Copilot Studio, Power Platform, Azure or Azure AI. Building and deploying AI-enabled applications. Strong understanding of LLMs, generative AI, agents and orchestration.