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Senior Software Engineer

Microsoft
United States, Washington, Redmond
Oct 30, 2025
OverviewMicrosoft 365 Copilot is a groundbreaking productivity tool thatleveragesthe power of large language models, user data, Microsoft Graph, and the web to drive unparalleled creativity and productivity.As an Applied Scientist/AI Engineer in the Office AI team, you work to enhance Office productivity with AI-driven experiences and services across key applications. The Office AI team is in the center of AI efforts across office and also works closely with Copilot efforts across the company.The Office AI team builds key components of MicrosoftCopilot, combining the power of large language models with enterprise data and native integration with Office apps to streamline productivity, including content generation, navigation, comprehension and more.As a Senior Software Engineer this role will focus on advancing scheduled prompt capabilities within Copilot chat and ensuring seamless integration with the Copilot chat experience. You will collaborate closely with product and engineering teams to design, implement the experience around event and time driven. This includes orchestrating prompt workflows, managing execution reliability, and aligning with Copilot's conversational framework to deliver intelligent, timely interactions that enhance productivity across enterprise scenarios.Join us as we empower people through AI, bringing cutting edge deep learning into everyday work at scale. 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.
ResponsibilitiesShip features with PM & Engineering.Co-own scenario goals; translate product requirements into scientific plans andproductionizedsolutions that meetquality/latency/costtargets.Generative AI and advanced technologies. Apply knowledge of generativeAI, large language models, and modern frameworks to develop intelligent features and automation within the service.Azure platform integration. Deploy, integrate, and manage AI powered solutions within the Azure ecosystem, ensuring security, scalability, and compliance with best practices.Continuous learning and mentoring. Stay current with advances in generative AI and software engineering.Invest time in learning new tools and frameworks, propose improvements to build processes, and share knowledge with colleagues. Serve as an expert for the rest of the team.
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