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Forward Deployed Engineer

United States, Redmond Employment contract 119800.00 - 234700.00 USD / Year · Job Posted June 29, 2026
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Job Description

We’re living in an era of more possibilities, more innovation, and more openness. As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on some of the most interesting and challenging AI problems. Our vision is bold and broad -- to build a truly open architecture v1 platform -- to enable and reimagine how users can summon bespoke AI agents to drive real meaningful business outcomes.

Job Responsibility

  • This role involves crafting user-facing features powered by Generative AI while taking full ownership of their development from inception to delivery, ensuring exceptional quality and seamless implementation
  • You’ll be working closely with some of the world’s most recognizable brands, helping them catapult into the AI transformation era

Requirements

  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Nice to have

  • Master's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 6+ years 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
  • Capable of optimizing, prompting and finetuning AI-based solutions for performance, accuracy, and scalability
  • Experience coaching and growing engineers within the team

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