Software Engineer (CEAI)

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. Our mission is to unlock new ways of operating through intelligent systems while creating the conditions for our teams to do the most meaningful work of their careers. If you’re excited to build, experiment, and shape the future of commercial execution with AI at the core, we invite you to apply.

Support Experience Group (SxG) within Commercial Engineering and AI (CEAI) is at the forefront of transforming Microsoft’s support 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.

We are looking for a Software Engineer who combines strong technical fundamentals with a bias for action. We value engineers who move quickly from ideas to execution, take ownership of outcomes, and are energized by solving problems.

If you thrive in fast-moving environments, embrace experimentation, learn rapidly from data and customer feedback, and are motivated by shipping impactful solutions, we'd love to hear from you.

Responsibilities

- Design, develop, test, deploy, and operate cloud-native services and applications at scale.

- Implement features and platform capabilities that leverage AI, automation, and agentic workflows using frameworks like Azure AI foundry, Microsoft Copilot studio or equivalent.

- Drive end-to-end delivery of projects spanning multiple services and components.

- Build high-quality, maintainable, and observable software with strong emphasis on reliability, security, privacy, and operational excellence.

- Analyse production telemetry and customer feedback to identify opportunities for continuous improvement.

- Participate in live-site support, incident response, root-cause analysis, and service health improvements.

- Contribute to AI-native engineering practices, including the use of AI-assisted development, testing, documentation, and operational workflows.

Basic / Required Qualifications: