Principal Architect for Search & AI Platform
 Microsoft | |
 United States, Washington, Redmond | |
 Jul 23, 2025 | |
|
OverviewJoin the team behind one of the world's largest and most sophisticated distributed systems. The Bing Search and AI Platform delivers high-performance search and recommendation technologies at planetary scale. We're proud of our track record in architecting efficient, large-scale infrastructures - and now, we're embarking on a unique collaboration with Azure to define the future of Bing's cloud-native infrastructure.This is a rare opportunity to shape the foundational hardware and software that powers Bing. We're seeking a Principal Architect for Search and AI Platform - who will work directly with Azure to co-design server SKUs tailored for Bing's intensive workloads. The role includes defining technical specifications, benchmarking performance, and influencing decisions that impact the design of next-generation cloud platforms.This position has the potential to drive major impact on Bing's overall infrastructure cost and performance. By engineering tightly integrated solutions between software and hardware, you'll be setting new standards for how search services operate efficiently at scale. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
ResponsibilitiesPartner with Azure engineers and Bing platform leads to co-design custom server SKUs and infrastructure.Profile and optimize Bing workloads for cost-effective cloud-native execution across compute, memory, and storage tiers.Identify bottlenecks and collaborate cross-functionally to improve performance and reduce operational costs.Apply deep technical insight to help drive decisions on virtualization, containerization, and orchestration at scale.Evangelize architectural best practices for running large-scale workloads in public cloud environments. | |