AI Factory Lead Architect

London Source: WhatJobs
See advert for pay

Overview

In this role you lead Advania UK’s internal AI Factory, turning business opportunities into AI solutions using Microsoft technology. You will own the architecture, governance, and delivery of AI applications, agents and automations that drive measurable outcomes. You’ll lead a small AI engineering team and collaborate with senior leaders to accelerate AI transformation. Your work enables a community of AI innovators while ensuring secure, scalable, and maintainable solutions.

Pay / Benefits

  • Hybrid working
  • Salary up to 90,000
  • Benefits package (details not specified)

Responsibilities

  • Design and build AI applications, agents, automations and dashboards tailored to business challenges
  • Own end-to-end architecture of internal AI estate including security, cost, observability, DevOps and source control
  • Conduct discovery sessions with stakeholders to translate needs into feasible use cases with value hypotheses
  • Provide day-to-day technical direction, designs reviews, and skill development for the team
  • Implement governance across Copilot Studio, Power Platform, Azure DevOps, and Azure hosting environments
  • Define and run the AI estate support model including monitoring, incident response, and change management
  • Enable wider maker community with templates, standards, datasets and tools
  • Support prioritisation of the use-case portfolio and advise leadership on sequencing by value
  • Report progress and risks to CTO and senior stakeholders; present team work to executives
  • Maintain awareness of Microsoft AI roadmap and incorporate advances into the internal estate

Key requirements

  • Proven experience delivering production AI solutions (not just POCs)
  • Strong agent-building experience in Copilot Studio and Microsoft Foundry
  • Solid software engineering foundations (web app and API development; Python, C#, or TypeScript)
  • Experience with Azure DevOps or GitHub Actions; CI/CD and IaC
  • Knowledge of MCP development and secure data exposure to agents
  • Practical knowledge of RAG and Azure AI Search
  • Understanding of Copilot Studio and Power Platform governance
  • Fluent use of agentic coding tools (e.g., GitHub Copilot)
  • Ability to engage with senior leaders, translate business needs into technical options, and communicate clearly
  • Stakeholder engagement
  • Strategic thinking
  • Mentoring and leadership
  • Copilot Studio
  • Microsoft Foundry
  • Azure DevOps

Full job description from WhatJobs. Apply for this role →

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