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Core AI is at the forefront of Microsoft's mission to redefine how software is built and experienced. We are responsible for building the foundational platforms, services, programming models, and developer experiences that power the next generation of applications using Generative AI. Our work enables developers and enterprises to harness the full potential of AI to create intelligent, adaptive, and transformative software. The Agentic Core Services Team is responsible for building the cloud-native, distributed platform that powers the development, execution, and management of agentic applications at scale. Our mission is to provide the foundational infrastructure and runtime systems that enable developers to build intelligent, autonomous, and enterprise-grade AI agents with confidence and agility. In this role, you will help define the future of software and application development. You will shape how developers interact with our platform—from programming models and user experiences to the design of a managed, distributed runtime that orchestrates agent-based AI applications at scale with enterprise-grade guarantees. You'll work at the cutting edge of AI research, collaborating with some of the brightest minds in generative AI, and integrating the latest breakthroughs in multi-modal capabilities (text, audio, video) into real-world agentic applications. At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. We live this mission every day through a culture that embraces a growth mindset, values diverse perspectives, and encourages continuous learning. We believe in creating an environment where individuals bring their best selves to work, collaborate openly, and build technology that makes a meaningful impact. Join us and help shape the future of the world.
Job Responsibility:
Lead and Develop the Team - Manage and coach engineers across levels, foster collaboration and inclusion, and drive career growth through mentoring and feedback
Drive Strategic Clarity: Leverage data-driven insights and competitive intelligence to inform product direction, identify opportunities, and guide decision-making
Foster Engineering Alignment: Work with the engineering teams and partner organizations by driving clarity, alignment, and shared ownership of technical direction
Deliver Cohesive End-to-End Experiences: Collaborate closely with partner teams—including experience, SDK, and platform groups—to ensure seamless integration and delivery of features across the stack
Build Foundational Capabilities: Contribute to and lead the development of core platform components and reusable building blocks that accelerate team velocity and product innovation
Champion Customer-Centric Development: Engage directly with customers and product teams to capture feedback, understand demand signals, and refine product messaging—ensuring the voice of the customer shapes product evolution
Lead Live Site Excellence: Drive operational excellence in managing and operating large-scale distributed systems with a high bar for service-level agreements (SLAs). Lead root cause analyses (RCAs) for key live site incidents and outages, identify systemic improvements, and set high standards for reliability and performance
Requirements:
Bachelor's Degree in Computer Science or related technical field and 8+ years of experience designing, building, and operating production-grade software and services at scale, with a proven track record of delivering high-impact solutions
2+ years of experience recruiting and managing technical teams, including performance management
1+ year(s) of demonstrated experience in distributed systems, observability tooling, and operational excellence
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role, including the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter
Nice to have:
Experience managing managers or multiple engineering teams in a global environment
Demonstrated expertise in solving complex technical challenges in one or more domains such as distributed systems, AI/ML infrastructure, developer platforms, or cloud services
Experience engaging with customers during integration or deployment phases, with a focus on delivering value and incorporating feedback into product evolution