Software Engineer II
 Microsoft | |
 United States, Washington, Redmond | |
 Sep 21, 2025 | |
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OverviewDo you want to work on intelligent, scalable systems that power next-generation AI experiences across the Microsoft ecosystem? If you're looking for an opportunity to dive into generative AI, innovation, and impact, Microsoft Copilot AI Enablement team could be a good fit for you. We are leading the charge in an AI-first world, unlocking agent capabilities for users everywhere and powering intelligent solutions across Microsoft 365 and beyond. Our AI Enablement team is building secure, scalable, and resilient cross-functional services that empower makers and information workers to deliver groundbreaking AI-powered solutions.We are looking to hire a Software Engineer II to join our team and help deliver seamless, high-quality, and reliable AI powered features and platforms to empower Copilot Studio users to create mission-critical AI workloads. You'll work alongside talented teammates from product design and applied science to deliver features that empower users and scale across millions of tenants in the Microsoft ecosystem. In the process, you'll also learn modern tools, technologies, and industry best practices as part of a world-class engineering environment that values mentorship and innovation. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
ResponsibilitiesWrite clean, maintainable, well-tested, scalable, reliable, and secure code for new AI-driven features that help agents improve.Contribute to the design, implementation, and iteration of features that propose the agent shape. Build and maintain systems to gather insights on agent performance and user interactions, surfacing data-driven suggestions for one-click fixes.Collaborate with Applied Science & AI experts to design, build, and deliver cutting-edge generative AI features and transform what it means to build AI-first SaaS.Embrace and apply modern engineering best practices including CI/CD pipelines, observability, and operational excellence to ensure high quality, maintainability, and resilience in production. Apply a variety of tools and technologies to deliver diverse customer experiences.Work across various technologies and platforms, participating in the full software development cycle: brainstorm, prototype, implement, test, and deploy.Embody our culture and values | |