AI Solutions Engineer

Michael Page
London

  • Build prototypes and production-grade solutions using Azure OpenAI, Azure ML, Cognitive Services, and the Microsoft AI stack.
  • Translate business requirements into technical architectures for GenAI and machine learning use cases.
  • Implement prompt engineering, retrieval‑augmented generation (RAG), and integration patterns with enterprise systems.
  • Configure and optimise Microsoft Copilot Studio and other AI tools for internal use cases.
  • Support the development of repeatable AI patterns, accelerators, and guardrails.
  • Work with Data Engineering and Cloud teams to ensure access to high‑quality data sources.
  • Provide documentation, knowledge transfer, and technical support to business teams.
  • Ensure all solutions follow responsible‑AI, security, compliance, and governance standards.
Posted 2026-02-19

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