Principal Software Engineer--M365 Work IQ

Work IQ exposes this intelligence through agent-first interfaces including REST APIs, Agent-to-Agent (A2A) protocols, CLI tooling, and Model Context Protocol (MCP) servers, enabling developers to build intelligent, enterprise-aware agents and applications. Take ownership of critical product and platform areas of the Work IQ API and related agentic components. Set a high technical and quality bar for agentic systems and developer-facing tooling. Design and ship performant, reliable terminal experiences that developers depend on for daily work. Use data, benchmarks, and direct user feedback to guide iteration and investment. Collaborate across org boundaries to enable other teams to build agentic products on top of a shared foundation. Influence architecture, technical direction, and engineering standards beyond your immediate team. 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 These requirements include but are not limited to the following specialized security screenings: Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with 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 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Hands-on experience building and operating generative AI or agentic systems in production, with direct ownership over quality, reliability, and iteration. Good experience building and shipping customer-facing developer interfaces/products, with depth across platform/foundation systems and user-facing experiences. Solid product mindset with a track record of owning ambiguous problem spaces and driving them to high-quality outcomes. Solid engineering fundamentals, including systems design, performance, and debugging in complex production environments. Experience designing, running, and optimizing evaluations for agentic systems, including tools, prompts, and agent loops. Experience building agentic development interfaces or working with related low level primitives is a strong plus.