AI & Agentic Automation Leader

Frasersgroup; Clayton-le-Moors; On-site; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Frasers Champion

Retail Reconnect

Fearless 1200

Frasers Fit

Retail Trust

Job summary

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.

Qualifications

• Leading AI, automation or intelligent technology initiatives.
• Experience with 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.
• Experience with data platforms or data warehousing solutions.

Responsibilities

• Lead and grow the AI and automation capability, setting priorities and standards.
• Design and implement AI agents and automated workflows that support decision-making.
• Redesign processes and embed AI-enabled ways of working across business units.
• Manage senior stakeholders and mentor team members.
• Establish governance, testing and validation standards while enabling innovation.

Skills

AI leadership

Automation strategies

Stakeholder management

Agile / product development

LLMs / Generative AI

System design & architecture

Tools

Microsoft Copilot

Copilot Studio

Power Platform

Azure / Azure AI

Snowflake

MCP

Job description

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.