Software Engineering - Commercial Engineering & AI (CEAI)

Commercial Engineering & AI (CEAI) organization is at the forefront of Microsoft's mission to accelerate AI-driven business value for customers and partners. As a Software Engineer in CEAI, you will join a dynamic team building innovative AI solutions that enrich employee experiences, reinvent customer engagement, and reshape business processes. This role sits on the Payout Journal team within the Rewards Core Platform, which builds and operates the data platform that processes partner and seller incentive data end to end. Because this is financial data, correctness, data quality, timeliness, and a defensible audit trail are core engineering requirements. Our stack spans Scala and Spark on Azure Synapse, C# services and Azure Functions, and Azure Data Explorer (Kusto).

Responsibilities

Design, develop, and maintain robust, scalable, and secure software solutions for AI-powered products and services within the Commercial Business; Collaborate with cross-functional teams, including product managers, data scientists, data engineers and UX designers, to deliver end-to-end features from concept to production; Participate in code reviews, architecture discussions, and contribute to engineering best practices; Drive continuous improvement by identifying opportunities to optimize performance, reliability, and developer productivity; Write well-documented, high-quality, and maintainable code; Ensure solutions adhere to Microsoft's Responsible AI principles, compliance, and security standards; Engage in agile development processes, including sprint planning, backlog grooming, and regular team syncs; Contribute to a culture of inclusion, innovation, and technical excellence within the AIT organization

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 have

Proficiency in at least one modern programming language (e.g., Python, Spark, C#, Java, TypeScript); Experience building scalable cloud solutions, distributed systems, and large-scale data platforms on Azure; Knowledge of AI/ML, LLMs, and Microsoft's AI ecosystem, including Azure AI Foundry, Copilot Studio, and Copilot technologies; Familiarity with modern engineering practices, including Git, DevOps, CI/CD, Infrastructure as Code, and AI-assisted development tools such as GitHub Copilot and Claude; Understanding of security, compliance, and Responsible AI principles in software development; Problem-solving, communication, and collaboration skills with experience working in agile, cross-functional teams; Demonstrated ability to learn quickly, drive innovation, and deliver results in fast-paced environments