Software Engineer II - Office AI Platform

Microsoft•Redmond, WA

About The Position

Microsoft 365 Copilot is a groundbreaking productivity tool that leverages the power of large language models, user data, Microsoft Graph, and the web to drive unparalleled creativity and productivity. At the heart of this innovation is the Office AI team, which plays a crucial role in the development of Copilot experiences across M365 and an expanding list of partners across Microsoft. We own the infrastructure that enables complex orchestration of M365 Copilot workflows to put powerful AI capabilities at the user’s fingertips, as well as the chat user experience and horizontal skills, and extends across Word, Excel, PowerPoint, OneNote, and an expanding list of partners across Microsoft. As a Software Engineer II on the Office AI Platform team, you spend most days designing and implementing changes to core feature and platform components that power Copilot across Office apps. You review telemetry to understand how your features behave in production, debug issues across client and service boundaries, and iterate with partner teams to land integrations cleanly. You write and review code, add or refine instrumentation, update tests and build pipelines, and contribute to drive root‑cause investigations when something breaks. Your work alternates between building new platform capabilities and strengthening the reliability, performance, and security of existing ones so Copilot scenarios run consistently at Microsoft 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.

Requirements

Bachelor's Degree in Computer Science or related technical field AND 2+ 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: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Nice To Haves

Master's Degree in Computer Science or related technical field AND 3+ 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 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Involvement with open source community.
Experience with various testing patterns, continuous integration and deployment processes, and continuous monitoring.
Experience building products and GenAI agents that use frontier models, RAGs, context engineering etc.

Responsibilities

Design, implement, test, and ship platform components used by multiple Office apps (client or service), with emphasis on performance, reliability, and maintainability.
Collaborate with PMs and partner teams to translate requirements into design docs and execution plans; own feature delivery end‑to-end.
Add high‑quality telemetry, logging, and dashboards; use signals to validate behavior, detect regressions, and drive mitigations in production.
Participate in on‑call rotations; triage incidents, perform root‑cause analysis, and deliver durable fixes and recovery mechanisms.
Contribute to platform auth and security best practices and help roll out improvements safely.
Develop and maintain high‑quality, maintainable code in one or more of C#, TypeScript/Node.js; contribute to unit and integration tests, as well as CI pipelines.
Partner with others to improve local build/run, evaluations for Copilot workflows, and developer tooling that speeds platform iteration.
Review Pull-Request (PR)s, share knowledge, and contribute to inclusive team culture; mentor early‑in-career engineers.
Document designs and operational playbooks for discoverability and supportability.
Balance near‑term agility with longer‑term platform consistency; pay down engineering debt thoughtfully.