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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 Principal Software Engineer Lead, 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.
Job Responsibility
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
Mentor and grow the energetic, diverse, and driven team with a good mix of senior, mid-level, and entry talent
Requirements
Bachelor'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 equivalent experience
6+ years of professional software engineering experience with hands-on coding in languages such as C#, Java, Python, or React
Proficiency in AI-native development — working within Agent Harnesses (GitHub Copilot CLI, Coding Agents), authoring Markdown specs/ADRs and YAML configs as Agent-consumable inputs, orchestrating multi-step Agentic workflows across the SDLC, and reviewing Agent-generated code and PRs with production-grade rigor
Fundamentals in data structures, algorithms, object-oriented design, and scalable systems
Experience building, testing, debugging, and maintaining production-quality software, following established engineering practices as well as leveraging large language models (LLMs)
Problem-solving and technical judgment skills, with the ability to design scoped solutions, debug complex issues, and improve service performance
Experience in driving AI (LLM/ML) based engineering solution
Experience with cloud platforms and distributed/service-oriented architecture
Familiarity with reliability, monitoring, and performance optimization practices
Collaboration and communication skills, with experience in design reviews
Experience building impactful, user-facing AI solutions