Microsoft Copilot Solutions Lead - Enterprise AI Delivery

Charles Alan Consulting Ltd

Greater London

On-site

GBP 90,000 - 150,000

Full time

3 days ago
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Job summary

Charles Alan Consulting Ltd. is seeking a hands-on Microsoft Copilot Solutions Lead in London to design and deliver AI-powered business solutions across a complex global enterprise.

You will act as an internal consultant, leading discovery, design and delivery of Copilot and AI solutions, translating business requirements into scalable technical implementations while addressing security, data governance and integration considerations.

Qualifications

  • Hands-on delivery experience with Microsoft Copilot and Microsoft 365.
  • Proficient in Copilot Studio, AI Agents or Power Platform.
  • Capable of building prototypes and translating business needs into tangible solutions.
  • Strong understanding of APIs, connectors, identity, permissions and data governance.
  • Knowledge of Generative AI/LLMs, grounding, retrieval and hallucination risks.
  • Excellent stakeholder management and ability to navigate complex enterprise environments.

Responsibilities

  • Lead discovery, design and delivery of Copilot and AI solutions across a global enterprise.
  • Assess use cases across Copilot, Copilot Studio, AI Agents, Microsoft Graph, Power Platform and enterprise integrations.
  • Develop prototypes and proof-of-concepts.
  • Ensure solutions deliver measurable business value while addressing security and governance.

Skills

Microsoft Copilot / Microsoft 365
Copilot Studio / AI Agents / Power Pl 
APIs, connectors, identity & data gov
Generative AI / LLMs
Stakeholder management / consulting
Enterprise technology delivery

Job description

Charles Alan Consulting Ltd. is seeking a hands-on Microsoft Copilot Solutions Lead in London to design and deliver AI-powered business solutions across a complex global enterprise.

You will act as an internal consultant, leading discovery, design and delivery of Copilot and AI solutions, translating business requirements into scalable technical implementations while addressing security, data governance and integration considerations.

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