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Forward Deployed Engineer

United Kingdom, Multiple Locations · Job Posted March 19, 2026
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Job Description

We’re entering a new era, one defined by the power of AI to reshape what’s possible. At Microsoft, we’re not just exploring the future of AI, we’re building it. Our mission is ambitious: to create an open, next-generation AI platform that empowers organizations to unlock unprecedented value. Imagine a world where businesses can summon intelligent, bespoke AI agents that accelerate decision-making, enhance productivity, and transform customer experiences. This is your chance to help shape that future. As a Forward Deployed Engineer (FDE), you’ll operate at the intersection of advanced AI technology and real-world business impact — embedded directly with customers to bring bold ideas to life.

Job Responsibility

  • As a Microsoft Forward Deployed Engineer, you’ll be a hands-on builder working in close partnership with customers to address their most pressing challenges
  • You’ll move quickly from concept to prototype to production, iterating alongside stakeholders to ensure solutions are both technically sound and operationally adopted
  • Your work will span engineering data pipelines and integrations, building custom applications, and deploying scalable workflows that bring AI to life in critical business processes
  • Your role doesn’t end at launch -- you’ll remain accountable for monitoring, refining, and driving adoption of what you build
  • As a bridge between the customer environment and Microsoft’s engineering teams, you’ll also share insights from the field that influence the direction of our AI platforms
  • As part of a growing FDE community, you’ll contribute to knowledge sharing, mentor peers, and help set the standards for how Microsoft delivers AI-first transformation

Requirements

  • Bachelor's Degree in Computer Science or related technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • Competence with DevOps practices, including CI/CD pipelines, containerization, and infrastructure-as-code
  • Solid understanding and successful demonstration of system security, scalability, reliability, and maintainability
  • Practical Experience with AI/LLMs: Experience designing and implementing ML/LLM-based solutions in production environments
  • Experience leveraging generative AI technologies to develop innovative and user-focused product features
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
  • This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

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