AI Software Engineer
About The Position
What if your work helped redefine how one of the world’s largest commercial engines plans, decides, and delivers—using AI as a firstclass primitive? The COO Revenue Operations team sits at the heart of Microsoft’s commercial business (MCAPS). Our mission is simple but ambitious: shorten the distance between customer signal and meaningful action. We design and operate the systems that power planning, execution, and growth across Microsoft’s global commercial organization—and we’re rearchitecting them for the age of Generative AI. This is not research in isolation. This is shipping AI-powered systems used by tens of thousands of employees worldwide. Why this role 0→1 builds: create new systems from scratch (not maintenance). Weeks-to-value: compress multiyear builds into weeks with modern engineering and AIassisted development. Continuous deployment: ship, learn, and improve continuously—production is the classroom. Real customers: your users are Microsoft sellers and operators running the commercial engine. Startup velocity + enterprise impact: move fast, with the reach of Microsoft scale.
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.
Nice To Haves
- Master'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 Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Responsibilities
- Design, build, and ship netnew internal applications supporting Microsoft’s global commercial planning and execution.
- Own userfacing features endtoend: problem framing, design, implementation, deployment, and iteration.
- Contribute to system design choices and technical decisions for new builds.
- Use Generative AI and AIassisted coding tools to accelerate delivery while maintaining a high quality bar.
- Operate what you build in production: monitor, debug, improve reliability and performance.
- Collaborate across engineering, product, design, and business stakeholders to turn operational needs into shipped software.
- Help evolve modern development patterns (fast iteration, continuous deployment) through practice and execution.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
