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.

Customer Success Engineering (CSE) within the Commercial Engineering and AI (CEAI) organization builds and manages critical products and services that Microsoft runs on. We pursue big ideas that power transformational advances for Microsoft and its customers while helping teams work smarter, faster, and more securely every day. We are looking for Software Engineers who are passionate about building great software and continuously learning new technologies. If you’re excited to build, experiment, and shape the future of commercial execution with AI at the core, we invite you to apply.

Responsibilities

• Collaborate with team members to solve business and technical problems and use AI tools to improve productivity and learning.
• Develop, test, deploy, and maintain software solutions and experiences for Microsoft Industry Solutions Delivery (ISD) and Customer Experience & Success (CE&S) businesses.
• Implement features, enhancements, engineering patterns, coding standards, security requirements, and operational best practices.
• Leverage modern engineering practices and AI-assisted development tools to improve development efficiency and code quality.
• Analyze telemetry, logs, and operational data to troubleshoot issues, identify root causes, and improve service reliability.
• Contribute to team knowledge repositories and maintain accurate technical documentation.
• Partner with peer teams to deliver solutions and support broader business objectives.
• Follow Responsible AI, security, privacy, and compliance requirements when building and operating software solutions.
• Learn and adopt emerging technologies, including AI-powered development practices, with guidance from the team.

Required/minimum qualifications

• 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 1+ years of equivalent work experience.
• Good development experience using Azure resources and services.
• Good exposure to Azure DevOps (VSO), Git, and modern engineering practices.
• Familiarity with Agile development methodologies.
• Hands-on experience or exposure to React and/or other JavaScript frameworks is a plus.
• Good experience using Microsoft technology stack and/or other languages (.NET Framework, ASP.NET, C#, PowerShell, SQL).
• Ability to use App Insights and Kusto for troubleshooting and operational analysis.
• Good verbal and written communication skills.

Additional or preferred qualifications

• Experience using AI-assisted development tools such as GitHub Copilot is good to have.
• Awareness of Responsible AI principles
• Familiarity with Azure AI services
• Basic awareness or exposure to AI concepts such as LLMs, prompt engineering, agents, and RAG

#EiP

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.