Software Engineering - Commercial Engineering & AI (CEAI)
About The Position
Commercial Engineering & AI (CEAI) partners closely with stakeholders to accelerate the transformation of Microsoft’s commercial business into a frontier organization. We bring together AI-native engineering, modern platforms, and deep commercial insight to reimagine how work gets done—at scale and with impact. Within this context, the Scale and Partner AI Experiences (SPAI) organization is at the forefront of transforming Microsoft’s sales ecosystem through AI-first innovation. Our mission is to build intelligent, scalable platforms that power partner and customer success, accelerating Microsoft’s commercial growth through modern, AI-driven experiences. As a Software Engineer, you will design and build AI-native systems that go beyond supporting workflows—they intelligently transform them. You will work across data, systems, and agentic workflows to enable faster insights, smarter decisions, and higher productivity across the global sales ecosystem.
Requirements
- Bachelor's Degree in Computer Science, or related technical discipline with proven experience 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 with proven experience 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 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Responsibilities
- Understand end-to-end business processes, workflows, and data flows across the Microsoft sales ecosystem, and identify opportunities to simplify, automate, and agentify those experiences.
- Rapidly prototype and deliver POCs and iterate on solutions using an experimentation-driven engineering approach.
- Design, build, and ship scalable, production-quality features and intelligent services using modern engineering practices.
- Collaborate across teams to integrate systems, data, and signals into cohesive AI-powered workflows.
- Debug, troubleshoot, and improve system reliability and performance using telemetry and diagnostics.
- Build secure, compliant, and responsible AI solutions ready for production scale.
- Contribute to a culture of continuous learning, experimentation, and engineering excellence.
Benefits
- Certain roles may be eligible for benefits and other compensation.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
