Senior AI Engineer
Job Description
Join the Surface AI Subsystem Team, where we architect and deliver the foundational AI infrastructure and intelligence layer that makes Surface devices smarter, safer, and more adaptive. Our mission is to enable seamless, secure, and proactive integration of AI features across Surface devices, Windows Copilot, and the broader Microsoft ecosystem.As a Senior AI Engineer, you’ll shape the infrastructure that enables Surface to introduce intelligent AI agents. You’ll design systems that support Model Context Protocol (MCP), agent-to-agent communication, and secure LLM-driven experiences at hyperscale. You will be empowered to make product-wide technical decisions to push the Windows ecosystem forward and showcase Microsoft’s commitment to delivering transformational AI experiences, with advanced hardware and software integration, security and Copilot features.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.
Locations
- Redmond, Washington, United States, Redmond, Washington, United States
- Mountain View, California, United States, Mountain View, California, United States
Salary
Salary not disclosed
Required Qualifications
- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, or Python.OR equivalent experience. (degree)
- OR equivalent experience. (degree)
- 3+ years experience in designing and deploying solutions in production environments. (degree)
- Experience working with Windows Systems, telemetry, inference pipelines and secure system design. (degree)
- 2+ years of experience in AI systems architecture or intelligent device platforms. (degree)
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. (degree)
- Master'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#, or PythonOR Bachelor'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#, or PythonOR equivalent experience. (degree)
- OR Bachelor'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#, or Python (degree)
- OR equivalent experience. (degree)
- Experience with Microsoft AI ecosystem (Windows AI Foundry, Copilot, WCRT APIs) or similar platforms. (degree)
- Familiarity with multimodal AI, agentic workflows, or NPU based optimizations. (degree)
- Demonstrated ability to collaborate across cross-functional engineering teams. (degree)
- Solid communication skills and a track record of developing platforms from the ground up (degree)
Preferred Qualifications
- Master'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#, or PythonOR Bachelor'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#, or PythonOR equivalent experience. (degree)
- OR Bachelor'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#, or Python (degree)
- OR equivalent experience. (degree)
- Experience with Microsoft AI ecosystem (Windows AI Foundry, Copilot, WCRT APIs) or similar platforms. (degree)
- Familiarity with multimodal AI, agentic workflows, or NPU based optimizations. (degree)
- Demonstrated ability to collaborate across cross-functional engineering teams. (degree)
- Solid communication skills and a track record of developing platforms from the ground up (degree)
Responsibilities
- Lead the orchestration of multimodal AI scenarios and coordinate with subsystem teams to build and scale MCP server infrastructure for agentic workflows.
- Design and implement on-device AI agents to enable autonomous and semi-autonomous system behaviors using telemetry and inference.
- Develop and deploy AI-powered tools to enhance developer productivity, automate triage, test selection, and regression analysis.
- Collaborate with security and platform teams to ensure secure recovery environments, content provenance, and protection of sensitive IP.
- Align Surface AI solutions with Windows AI Foundry, WCRT (Windows Copilot Runtime) APIs, and contribute to protocol standardization across the Microsoft ecosystem.
- Deliver and support AI-assisted debugging, diagnostics, and productivity tools for Surface engineering and factory operations.
- Drive enterprise readiness by supporting manageability, compliance, and ecosystem standards for Surface AI features.
- Embody our Culture and Values.
Travel Requirements
3 days / week in-office
