At Microsoft AI (MAI) we are pushing the boundaries of technology. We are creating unique, beautiful and powerful products that will change lives. A small, friendly, fast-moving team, we support each other to do the best work of our lives, always looking to break new ground, fast. We are proud of what we build, how we build it and that our products will define the AI era. We run lean, obsess about users, and always make our decisions based on the evidence. We ship regularly, so your work will have real and immediate impact. It’s a time of huge change in the AI landscape, and this role will put you right in the heart of it.   

Microsoft AI (MAI) is seeking experienced Developer Evangelists to… 

Champion the adoption of our AI platform technologies for developers in MAI and across Microsoft. Work with the mission to empower engineering teams to build faster, smarter, and more reliably on our platform. As a Developer Advocate, you’ll serve as the connective tissue between platform engineering and product teams, translating technical capabilities into developer-friendly experiences and feedback into actionable improvements. You will work closely with platform architects and engineers to simplify AI application-building and create repeatable patterns for building AI products across Microsoft. Work hands-on to improve and refine our libraries and the developer experience as a whole.  
 
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.  

By applying to this U.S. Mountain View, CA position, you are required to be local to the San Francisco area and in office 3 days a week. 

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

• Create technical content (tutorials, sample apps, blog posts, videos) that demonstrates real-world uses and best practices for the company’s platform or APIs. 

• Organize and deliver live presentations, workshops, ,webinars, and internal events to drive awareness and practical adoption. 

• Maintain and contribute to developer-facing documentation, SDKs, command-line tools, and code examples to improve onboarding and reduce friction. 

• Act as the primary liaison between the developer community and platform engineering teams; surface feature requests, common bugs, and usability issues. 

• Monitor internal channels, and telemetry to respond to questions, triage problems, and identify trends. 

• Measure and report on developer metrics (adoption, retention, active usage, contributions) and craft narratives to show business impact. 

• Create feedback loops and structured processes for bug reporting, feature prioritization, and product validation with developers. 

• Advocate for developer-first design inside the company by insisting on clarity, tooling, and workflows that reduce cognitive load and friction. 

Microsoft AI is hiring a Member of Technical Staff, AI Networking to design and scale the world’s most advanced high-performance networks powering Copilot and next-generation AI systems. Join the team building the fabric that connects frontier-class datacenters, enables multi-gigawatt AI supercomputers, and supports the training of the most sophisticated AI models on the planet.  

In our efforts to build these models to develop novel responsible and efficient artificial general intelligence, large compute-capacity is required, and as an AI Networking Engineer, you’ll shape the end-to-end networking architecture, link-layer to fabric-wide systems for hyperscale AI training clusters. design, bring up, and scale the distributed Ethernet and InfiniBand fabrics that connect hundreds of thousands of GPUs across multi-megawatt data halls. You’ll benchmark, profile, debug and tune the training and inference of AI workloads running in the production clusters. You’ll engineer ultra-low-latency ROCE networks, design congestion-free transport mechanisms, optimize lossless fabrics at 10k–100k+ GPU scale, and partner deeply across Azure, Microsoft AI, and datacenter teams to turn cutting-edge ideas into running global infrastructure. If you want to build networking systems that push physics, silicon, and software to the limit and directly accelerate Microsoft’s frontier AI models, this is the most exciting seat in the industry.

Microsoft Superintelligence Team
Microsoft Superintelligence team’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.This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!   

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

• 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.

Microsoft AI is hiring a Member of Technical Staff, AI Networking to design and scale the world’s most advanced high-performance networks powering Copilot and next-generation AI systems. Join the team building the fabric that connects frontier-class datacenters, enables multi-gigawatt AI supercomputers, and supports the training of the most sophisticated AI models on the planet.  

In our efforts to build these models to develop novel responsible and efficient artificial general intelligence, large compute-capacity is required, and as an AI Networking Engineer, you’ll shape the end-to-end networking architecture, link-layer to fabric-wide systems for hyperscale AI training clusters. design, bring up, and scale the distributed Ethernet and InfiniBand fabrics that connect hundreds of thousands of GPUs across multi-megawatt data halls. You’ll benchmark, profile, debug and tune the training and inference of AI workloads running in the production clusters. You’ll engineer ultra-low-latency ROCE networks, design congestion-free transport mechanisms, optimize lossless fabrics at 10k–100k+ GPU scale, and partner deeply across Azure, Microsoft AI, and datacenter teams to turn cutting-edge ideas into running global infrastructure. If you want to build networking systems that push physics, silicon, and software to the limit and directly accelerate Microsoft’s frontier AI models, this is the most exciting seat in the industry.

Microsoft Superintelligence Team
Microsoft Superintelligence team’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.This role is part of Microsoft AI’s Superintelligence Team. The MAIST is a startup-like team inside Microsoft AI, created to push the boundaries of AI toward Humanist Superintelligence—ultra-capable systems that remain controllable, safety-aligned, and anchored to human values. Our mission is to create AI that amplifies human potential while ensuring humanity remains firmly in control. We aim to deliver breakthroughs that benefit society—advancing science, education, and global well-being.We’re also fortunate to partner with incredible product teams giving our models the chance to reach billions of users and create immense positive impact. If you’re a brilliant, highly-ambitious and low ego individual, you’ll fit right in—come and join us as we work on our next generation of models!   

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

• 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.

Microsoft AI operates one of the world’s most advanced AI training infrastructures, featuring multi-gigawatt clusters spanning tens of thousands of high-performance GPUs, ultra-low-latency NVLink/NVSwitch networks, and innovative liquid-cooling systems. Our team is seeking a Member of Technical Staff, Hardware Health, to ensure these systems deliver sustained reliability, performance, and availability across exascale-class deployments. 

We work closely with research, hardware, datacenter, and platform engineering teams to develop predictive health models, failure detection frameworks, and autonomous remediation systems that keep our AI clusters operating at frontier scale. 

Our newly formed organization, Microsoft AI, is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Join us and help shape the future of personal computing. 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we embrace a growth mindset, innovate to empower others, and collaborate to achieve shared goals. Every day, we build on our values of respect, integrity, and accountability to foster a culture of inclusion where everyone can thrive at work and beyond. 

• 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.

Microsoft AI operates one of the world’s most advanced AI training infrastructures, featuring multi-gigawatt clusters spanning tens of thousands of high-performance GPUs, ultra-low-latency NVLink/NVSwitch networks, and innovative liquid-cooling systems. Our team is seeking a Member of Technical Staff, Hardware Health, to ensure these systems deliver sustained reliability, performance, and availability across exascale-class deployments. 

We work closely with research, hardware, datacenter, and platform engineering teams to develop predictive health models, failure detection frameworks, and autonomous remediation systems that keep our AI clusters operating at frontier scale. 

Our newly formed organization, Microsoft AI, is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Join us and help shape the future of personal computing. 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we embrace a growth mindset, innovate to empower others, and collaborate to achieve shared goals. Every day, we build on our values of respect, integrity, and accountability to foster a culture of inclusion where everyone can thrive at work and beyond. 

• 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.

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.  

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

• Define Product Vision & Strategy: define the roadmap for Bing app experiences, aligning with business objectives and user needs.
• Drive Feature Design & Execution: Translate customer insights into intuitive, high-quality mobile features. Partner closely with engineering, design, and data science teams to deliver impactful solutions.
• Data-Driven Decision Making: Use analytics, experimentation, and market research to inform prioritization and measure success.
• Cross-Functional Leadership: Influence and collaborate across disciplines and organizations to ensure clarity and alignment during periods of ambiguity.
• Customer-Centric Innovation: Anticipate user needs and industry trends to create differentiated experiences leveraging AI and personalization.
• Operational Excellence: Improve processes and frameworks to accelerate delivery and maintain high standards of quality and compliance.

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.  

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

• Define Product Vision & Strategy: define the roadmap for Bing app experiences, aligning with business objectives and user needs.
• Drive Feature Design & Execution: Translate customer insights into intuitive, high-quality mobile features. Partner closely with engineering, design, and data science teams to deliver impactful solutions.
• Data-Driven Decision Making: Use analytics, experimentation, and market research to inform prioritization and measure success.
• Cross-Functional Leadership: Influence and collaborate across disciplines and organizations to ensure clarity and alignment during periods of ambiguity.
• Customer-Centric Innovation: Anticipate user needs and industry trends to create differentiated experiences leveraging AI and personalization.
• Operational Excellence: Improve processes and frameworks to accelerate delivery and maintain high standards of quality and compliance.

Join Microsoft AI (MAI), the team behind Copilot, Bing, MSN, Microsoft Advertising, and Edge, as we build transformative AI experiences. We’re looking for a Software Development Engineer II who embodies the future of engineering to design and build scalable, high-performance solutions. In this role, you will work across the full stack—spanning Frontend and Backend—combining robust engineering practices with the power of modern AI to deliver critical features for Copilot and our broader ecosystem.

Culture: MAI operates with the agility and intensity of a startup—fast-paced, iterative, and impact-driven. Success here requires a scrappy mindset: someone who thrives in ambiguity, takes initiative, and adapts quickly to shifting priorities. This role is ideal for a candidate who is energized by exploring the cutting edge of AI coding technologies and applying them to architect solutions, not just execute predefined tasks. If you enjoy constantly optimizing your engineering efficiency through innovation and building frameworks that influence product direction, you’ll feel right at home on our team.

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.

Location & Hybrid Work Policy: Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

• Drive the technical design, implementation, and deployment of critical AI services and AI user interfaces.
• Set a high bar for AI-native engineering by leveraging deep understanding of advanced AI solutions and frontline AI coding experience to accelerate development cycles.
• Actively explore the latest advancements in AI-assisted programming and integrate them into daily workflows to build low-latency backend services and responsive frontend interactions with greater efficiency.
• Collaborate closely with Research, Product, and Design teams to translate complex AI capabilities into intuitive, user-aligned experiences.
• Architect and operationalize durable software systems from the ground up, using AI coding tools creatively to solve complex problems and ensure codebases remain maintainable, testable, and ready for rapid iteration.

• Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python 
• • OR equivalent experience. 
• Solid understanding of full-stack development, including deep proficiency in both Frontend frameworks (e.g., React, TypeScript) and Backend services, with a strong grasp of scalable system architecture and design patterns.
• A highly open mindset with a relentless drive for continuous learning. Demonstrated willingness to embrace new technologies, tools, and paradigms—especially the rapid evolution of AI coding workflows—and apply them to solve complex engineering challenges.

Preferred Qualifications:

• Master’s Degree in Computer Science or related technical field AND 3+ 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 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience. 

Join Microsoft AI (MAI), the team behind Copilot, Bing, MSN, Microsoft Advertising, and Edge, as we build transformative AI experiences. We’re looking for a Software Development Engineer II who embodies the future of engineering to design and build scalable, high-performance solutions. In this role, you will work across the full stack—spanning Frontend and Backend—combining robust engineering practices with the power of modern AI to deliver critical features for Copilot and our broader ecosystem.

Culture: MAI operates with the agility and intensity of a startup—fast-paced, iterative, and impact-driven. Success here requires a scrappy mindset: someone who thrives in ambiguity, takes initiative, and adapts quickly to shifting priorities. This role is ideal for a candidate who is energized by exploring the cutting edge of AI coding technologies and applying them to architect solutions, not just execute predefined tasks. If you enjoy constantly optimizing your engineering efficiency through innovation and building frameworks that influence product direction, you’ll feel right at home on our team.

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.

Location & Hybrid Work Policy: Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

• Drive the technical design, implementation, and deployment of critical AI services and AI user interfaces.
• Set a high bar for AI-native engineering by leveraging deep understanding of advanced AI solutions and frontline AI coding experience to accelerate development cycles.
• Actively explore the latest advancements in AI-assisted programming and integrate them into daily workflows to build low-latency backend services and responsive frontend interactions with greater efficiency.
• Collaborate closely with Research, Product, and Design teams to translate complex AI capabilities into intuitive, user-aligned experiences.
• Architect and operationalize durable software systems from the ground up, using AI coding tools creatively to solve complex problems and ensure codebases remain maintainable, testable, and ready for rapid iteration.

• Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python 
• • OR equivalent experience. 
• Solid understanding of full-stack development, including deep proficiency in both Frontend frameworks (e.g., React, TypeScript) and Backend services, with a strong grasp of scalable system architecture and design patterns.
• A highly open mindset with a relentless drive for continuous learning. Demonstrated willingness to embrace new technologies, tools, and paradigms—especially the rapid evolution of AI coding workflows—and apply them to solve complex engineering challenges.

Preferred Qualifications:

• Master’s Degree in Computer Science or related technical field AND 3+ 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 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience.