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Mountain View, United States

Principal Technical Program Manager – Copilot Identity Principal Technical Program Manager – Copilot Identity

Location
Mountain View, United States
Job Number
200010494-en-2
City
Mountain View
Team
Data, Security & Privacy
Country
United States
Discipline
Technical Program Management
Overview

Copilot Security is at the heart of Microsoft’s mission to deliver trusted, human-centered AI experiences. We make trust, safety, and resilience foundational to every Copilot interaction, across devices, platforms, and ecosystems. Our work spans secure identity flows, defenses against emerging threats like prompt injection, and privacy-first systems that scale globally. 

As a Principal Techncal Program Manager on Copilot Identity, you’ll lead initiatives that strengthen authentication, authorization, and account lifecycle experiences across desktop, web, and mobile. Your work ensures every Copilot interaction meets the highest standards of privacy, compliance, and reliability, while enabling developer velocity at Microsoft scale. 

You’ll work at the intersection of security, user experience, and platform scale, partnering with engineering, research, and product teams to turn complex identity challenges into paved roads for innovation. From shaping strategy to orchestrating global execution, your impact will be felt across Microsoft’s most transformative products. 

This is a rare opportunity to influence the security architecture for AI experiences used by hundreds of millions worldwide. If you thrive on solving hard problems, driving clarity in ambiguity, and building systems that scale with trust, we want you on this team.

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.

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.



Responsibilities
  • Lead and orchestrate identity improvement programs across multiple client surfaces (e.g., desktop, web, and mobile), aligning roadmaps and milestones with partner teams and the Microsoft central identity system.
  • Partner with research, engineering, and product managers to scope initiatives, define success metrics, and plan phased delivery that reduces risk and accelerates customer value.
  • Ensure data quality, availability, and compliance for identity-related telemetry and signals; work with stakeholders to meet all privacy, security, and compliance requirements for shipping features at scale.
  • Drive execution excellence: define schedules, milestones, KPIs, and review cadences; track progress, manage dependencies, surface risks, and ensure on-time delivery.
  • Communicate program status, insights, and blockers with leadership and stakeholders; clarify ownership, hold teams accountable, and cultivate durable cross-org partnerships.
  • Manage program execution and stakeholder engagement across geographically distributed teams, proactively addressing time zone challenges and fostering effective communication.
  • Schedule and facilitate meetings, reviews, and decision-making sessions that accommodate global team members, ensuring all voices are heard and progress remains on track. 


Qualifications

Required Qualifications:

  • Bachelor’s Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development
    • OR equivalent experience.
  • 3+ years of experience managing cross-functional and/or cross-team projects. 
Preferred Qualifications:
  • Bachelor’s Degree AND 12+ years experience engineering, product/technical program management, data analysis, or product development
    • OR equivalent experience.
  • 8+ years of experience managing cross-functional and/or cross-team projects.
  • 3+ years of hands-on experience with authentication and identity systems, including practical knowledge of protocols (e.g., OAuth 2.0, OpenID Connect, SAML), session management, MFA, federation, and directory services. 
  • Experience reading and/or writing code (e.g., sample documentation, product demos).
  • Proven track record driving feature launches and large-scale rollouts in complex systems, ideally across multiple client surfaces (desktop, web, mobile). 
  • Experience defining long-term program vision and strategy for identity/security projects; proficiency with OKRs and KPI-driven execution.
  • Excellent communication, collaboration, and influence skills; ability to crisply communicate technical concepts to diverse audiences. 
  • Ability to thrive in fast-paced, ambiguous environments while driving clarity, alignment, and results. 
  • Demonstrated experience collaborating with globally distributed teams. 
  • Ability to adapt communication and project management approaches to suit diverse cultural and working styles.
  • Experience working with Microsoft’s central identity ecosystem and partner teams, or similar large-scale identity platforms. 
  • Familiarity with privacy-by-design principles and compliance requirements (e.g., GDPR, regional data regulations) for identity data. 
  • Understanding of risk-based authentication, device-bound credentials, passkeys/WebAuthn, and related identity innovations. 

 

#MicrosoftAI



Technical Program Management IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay


This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.




Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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Principal Software Engineer – Data, Personalization – Microsoft AI Principal Software Engineer – Data, Personalization – Microsoft AI

Location
Mountain View, United States
Job Number
200016917-en-3
City
Mountain View
Team
Data, Security & Privacy
Country
United States
Discipline
Software Engineering
Overview

As Microsoft continues to redefine the future of AI, we are seeking passionate engineers to tackle some of the most complex and impactful challenges of our time. Our vision is bold — to build intelligent systems that deeply understand users and adapt across agents, applications, services, and infrastructure.

This role focuses on building distributed data systems and APIs that power adaptive, context-aware experiences across Microsoft AI. We aim to make Copilot feel like your Copilot — responsive to your preferences, workflows, and goals — while preserving privacy, security, performance, and scale.

We are looking for a Principal Software Engineer to lead the design and development of distributed data infrastructure, APIs and personalization pipelines that drive Copilot’s intelligence. You will work across Microsoft AI and Copilot teams.

You will possess a methodical approach to problem-solving, proficiency in backend technologies, a familiarity with applied AI and its unique challenges, and the ability to architect solutions that stand the test of time. The right candidate is hands-on and enjoys building world-class consumer experiences and products in a fast-paced environment. A key skill is the judgment to make the right risk vs velocity and value decisions.

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.



Responsibilities
  • Architect scalable, low-latency systems for ingesting, processing, and serving personalized signals.
  • Design data models and APIs that enable Copilot to reason about user context, preferences, and history
  • Build real-time and batch personalization engines that adapt Copilot’s behavior.
  • Collaborate with privacy, security, and responsible AI teams to ensure personalization is safe, transparent, and user-controlled
  • Optimize for performance, reliability, and cost across diverse workloads and geographies.
  • Ship high-quality, well-tested, secure, and maintainable code.
  • Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
  • Enjoy working in a fast-paced, design-driven, product development cycle.
  • Embody our Culture and Values.  


Qualifications

Required Qualifications:

  • 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#, Java, JavaScript, or Python
    • OR equivalent experience.

Preferred Qualifications:

  • 4+ years’ experience building scalable services, including securing applications and infrastructure on top of cloud infrastructure like Azure, AWS, or GCP.
  • 3+ years’ experience in OSS data technology, such as Kafka, Spark, Flink.
  • Experience with large scale data systems
  • Experience working with AI platforms, frameworks, and APIs.  
  • Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.  
  • Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience. 
  • Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.  
  • Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, data systems and AI. 
  • Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. 
  • Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.

#MicrosoftAI



Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay


This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.




Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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Senior Software Engineer – Copilot Security Senior Software Engineer – Copilot Security

Location
Mountain View, United States
Job Number
200008376-en-3
City
Mountain View
Team
Data, Security & Privacy
Country
United States
Discipline
Software Engineering
Overview

About the Team 

Copilot Security is at the core of Microsoft’s mission to deliver trusted, human-centered AI experiences. We make security and resilience intrinsic to every Copilot interaction across devices, platforms, and ecosystems. Our work spans secure identity flows, defenses against emerging threats like prompt injection, and privacy-first systems that scale globally. 

About the Role 

Copilot for consumers is entering a new era of agentic AI, where intelligent agents act on behalf of users across Windows, Edge, web, mobile, and third-party products. We’re seeking a Senior Software Engineer to help develop security features and solutions that harness agentic AI to protect customers and enable new capabilities in Copilot. You’ll contribute to designing and building AI-powered defenses, secure orchestration frameworks, and enabling technologies that empower Copilot to act safely and responsibly at scale. This role is ideal for engineers who are passionate about applying technical skills to solve security challenges and build systems that balance innovation with trust. 

Why This Role Matters 

Your work will directly shape how hundreds of millions of users experience safe, trustworthy, and innovative AI. You’ll be at the forefront of defining how agentic AI can proactively defend users, mitigate emerging threats, and unlock new secure scenarios, making a global impact on Microsoft’s most transformative products. 

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, 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.



Responsibilities
  • Develop and ship agentic AI-powered security features that protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows.  
  • Implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms.  
  • Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy.    
  • Collaborate with product, engineering, security, privacy, and AI teams to adopt agentic security patterns and best practices across Copilot and MAI.  
  • Monitor key metrics for agentic AI security and innovation, using data-driven insights to improve defenses and enablement.  
  • Document secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions.


Qualifications

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#, Java, JavaScript, or Python
    • OR equivalent experience.

Preferred Qualifications:

  • 3+ years in technical engineering roles building large-scale services. 
  • Hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses. 
  • Proven ability to design, build, and ship agentic AI features or frameworks 
  • Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps. 
  • Agentic AI Development & Orchestration: Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms; familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns 
  • Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments 
  • Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses; understanding of AI safety evaluation methodologies including adversarial testing and red-teaming 
  • Experience integrating with Azure AI services, Azure OpenAI Service, or Microsoft security platforms (Azure AD, Defender, Purview) 
  • Track record of mentoring less experienced engineers, driving adoption of standards and best practices across teams, and influencing technical roadmaps while balancing innovation velocity with fundamentals 

#MicrosoftAI 



Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay


This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.




Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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Senior Software Engineer – Microsoft AI, Copilot Senior Software Engineer – Microsoft AI, Copilot

Location
Mountain View, United States
Job Number
200010558-en-3
City
Mountain View
Team
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Country
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Discipline
Software Engineering
Overview

As Microsoft continues to redefine the future of AI, we are seeking passionate engineers to tackle some of the most complex and impactful challenges of our time. Our vision is bold — to build intelligent systems that deeply understand users and adapt across agents, applications, services, and infrastructure. 
 
This role focuses on building distributed systems and APIs that power adaptive, context-aware experiences across Microsoft AI. We aim to make Copilot feel like your Copilot — responsive to your preferences, workflows, and goals — while preserving privacy, security, performance, and scale. 

We are looking for a Senior Software Engineer to lead the design and development of distributed data infrastructure, APIs and personalization pipelines that drive Copilot’s intelligence. You will work across Microsoft AI and Copilot teams. 

You will possess a methodical approach to problem-solving, proficiency in backend technologies, a familiarity with applied AI and its unique challenges, and the ability to architect solutions that stand the test of time. The right candidate is hands-on and enjoys building world-class consumer experiences and products in a fast-paced environment. A key skill is the judgment to make the right risk vs velocity and value decisions. 

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.  



Responsibilities
  • Architect scalable, low-latency systems/data pipelines for ingesting, processing, and serving personalized signals.
  • Design, build, and maintain robust pipelines for telemetry, product usage, and experimentation data. 
  • Design data models and APIs that enable Copilot to reason about user context, preferences, and history.
  • Build real-time and batch personalization engines that adapt Copilot’s behavior.
  • Collaborate with privacy, security, and responsible AI teams to ensure personalization is safe, transparent, and user-controlled.
  • Optimize for performance, reliability, and cost across diverse workloads and geographies.
  • Ship high-quality, well-tested, secure, and maintainable code.  
  • Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.  
  • Enjoy working in a fast-paced, design-driven, product development cycle. 
  • Embody our Cultureand Values.   


Qualifications

Required Qualifications:

  • Bachelor’s degree in computer science, or related technical discipline AND 4+ years technical engineering experience building systems with coding in languages including, but not limited to, Python, C#, C++, Golang, Rust, Java  

    • OR equivalent experience.  

Preferred Qualifications:
  • 4+ years’ experience building scalable services, including securing applications and infrastructure on top of cloud infrastructure like Azure, AWS, or GCP.  
  • Experience with large scale data systems.  
  • Experience working with AI platforms, frameworks, and APIs.   
  • Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience. 
  • Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers.   
  • Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web, data systems and AI.  
  • Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines.  
  • Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. 

#MicrosoftAI



Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay


This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.




Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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Principal Software Engineer – Copilot Security Principal Software Engineer – Copilot Security

Location
Mountain View, United States
Job Number
200013247-en-2
City
Mountain View
Team
Data, Security & Privacy
Country
United States
Discipline
Software Engineering
Overview

Copilot Security is at the core of Microsoft’s mission to deliver trusted, human-centered AI experiences. We make security and resilience intrinsic to every Copilot interaction—across devices, platforms, and ecosystems. Our work spans secure identity flows, defenses against emerging threats like prompt injection, and privacy-first systems that scale globally. 

About the Role 

Copilot for consumers is entering a new era of agentic AI, where intelligent agents act on behalf of users across Windows, Edge, web, mobile, and third-party products. We’re seeking a Principal Software Engineer to contribute to the development of security features and solutions that harness agentic AI to protect customers and enable new capabilities in Copilot. You’ll design, build, and ship AI-powered defenses, secure orchestration frameworks, and enabling technologies that empower Copilot to act safely and responsibly at scale. This role requires solid engineering skills, creativity in applying agentic AI to security challenges, and a passion for building systems that balance innovation with trust. 

Why This Role Matters 

Your work will directly shape how hundreds of millions of users experience safe, trustworthy, and innovative AI. You’ll be at the forefront of defining how agentic AI can proactively defend users, mitigate emerging threats, and unlock new secure scenarios—making a global impact on Microsoft’s most transformative products.

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.



Responsibilities
  • Develop and ship agentic AI-powered security features that protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows.
  • Design and implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms.
  • Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy. 
  • Collaborate with product, engineering, security, privacy, and AI teams to drive adoption of agentic security patterns and best practices across Copilot and MAI.
  • Monitor key metrics for agentic AI security and innovation, using data-driven insights to improve defenses and enablement.
  • Align with central Microsoft security and AI roadmaps, landing platform capabilities in Copilot and MAI consumer scenarios.
  • Document secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions. 


Qualifications

Required Qualifications:

  • 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#, Java, Go, or Python
    • OR equivalent experience.


Preferred Qualifications:

  • Master’s Degree in Computer Science or related technical field AND 10+ 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.
  • 8+ years in technical engineering roles building large-scale services.
  • 8+ years hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses. 
  • Proven ability to design, build, and ship agentic AI features or frameworks.
  • Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps. 
  • Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms; familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns.
  • Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments.
  • Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses; understanding of AI safety evaluation methodologies including adversarial testing and red-teaming.
  • Experience integrating with Azure AI services, Azure OpenAI Service, or Microsoft security platforms (Azure AD, Defender, Purview).
  • Track record of mentoring engineers, driving adoption of secure agentic AI standards across product teams, and influencing technical roadmaps while balancing innovation velocity with fundamentals.


#MicrosoftAI



Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay


This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.




Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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MTS – AI Platform Engineer MTS – AI Platform Engineer

Location
Mountain View, United States
Job Number
200019983-en-2
City
Mountain View
Team
Copilot
Country
United States
Discipline
Software Engineering
Overview

As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build the next generation of AI Agents with world‑class orchestration and inference layers—foundational systems that will redefine how personal AI reasons, acts, and scales. You will get to closely partner with our Research teams who are building the next generation of foundational models. Here is a quick peek into our vision: Towards Humanist Superintelligence. 

At Microsoft AI, our Platform Engineering team is building AI that’s not just powerful, but deeply human-centered. We design and optimize AI Agents that reason, plan, and act autonomously—always with empathy, ethics, and real-world impact in mind. We define and orchestrate disruptive multi-agent flows that enable coordinated, emergent intelligence across systems. If you’re passionate about technical excellence and want to create AI that empowers people and serves society, join us to shape the future of trustworthy, human-aligned AI. 

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, 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. 



Responsibilities
 
  • Build secure and performant AI Platform services that power Copilot.  
  • Work collaboratively with other Platform, infrastructure, application engineers as well as AI Researchers to build next generation AI products and services.  

  • Ship high-quality, well-tested, secure, and maintainable code.   

  • Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.   

  • Enjoy working in a fast-paced, design-driven, product development cycle.  



Qualifications

Required Qualifications: 

  • Bachelor’s Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python  

    • OR equivalent experience.  

  

Preferred Qualifications: 

  • Bachelor’s degree in computer science, or related technical discipline AND 6+ years technical engineering experience building web applications with coding in languages including, but not limited to, Python, C#, C++, Rust, Java  

    • OR equivalent experience.  

  • 6+ years’ experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use datastores like RDBMS, key-value stores, etc.  

  • 6+ years’ experience building distributed systems at scale and extensive systems knowledge that spans bare-metal hosts to containers to networking.   

  • Experience working with AI platforms, frameworks, and APIs. 

  • Experience using Machine Learning frameworks, including experience using, deploying, and scaling language learning models, either personally or professionally.   

  • Ability to identify, analyze, and resolve complex technical issues, ensuring optimal performance, scalability, and user experience. 

  • Dedication to writing clean, maintainable, and well-documented code with a focus on application quality, performance, and security. 

  • Demonstrated interpersonal skills and ability to work closely with cross-functional teams, including product managers, designers, and other engineers. 

  • Ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders. 

  • Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in web development and AI. 

  • Ability to work in a fast-paced environment, manage multiple priorities, and adapt to changing requirements and deadlines. 

  • Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team. 



Software Engineering IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay


This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.




Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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Principal Software Engineer Principal Software Engineer

Location
Mountain View, United States
Job Number
200021591-en-2
City
Mountain View
Team
Monetization
Country
United States
Discipline
Software Engineering
Overview

Our team is at the forefront of transforming digital advertising through intelligent automation and large-scale optimization. We design and build the auto-bidding platform that powers real-time ad auctions across Microsoft’s marketplaces—leveraging cutting-edge AI, machine learning, and large-scale distributed systems to bid on behalf of millions of advertisers.

Our systems process billions of auction events daily, optimizing bids in milliseconds to maximize performance and return on ad spend. Engineers and scientists work hand-in-hand, blending algorithmic innovation, reinforcement learning, and large-scale data pipelines to create the intelligence that drives Microsoft Advertising’s success.

We’re looking for a Principal Software Engineer who thrives at the intersection of AI systems, real-time decision-making, and scalable cloud infrastructure. You’ll help shape the next generation of our agentic auto-bidding platform — one that learns, adapts, and optimizes autonomously. Your work will directly influence advertiser ROI and drive billions of dollars in revenue across Bing, MSN, and the Microsoft ecosystem.

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.



Responsibilities
  • Collaborate with data scientists, ML engineers, and product teams to define requirements for agentic AI-driven bidding capabilities that observe, reason, and adapt autonomously.
  • Architect and implement the next-generation agentic bidding platform, enabling AI agents to monitor marketplace signals, interpret advertiser and user behavior, and continuously optimize bidding strategies.
  • Build large-scale data validation and quality frameworks to ensure correctness, consistency, and reliability across all auction-critical signals feeding the AI agents.
  • Act as a Designated Responsible Individual (DRI): drive operational excellence, incident management, on-call readiness, and high-availability practices for mission-critical bidding services.
  • Develop experimentation and simulation frameworks to validate agent behavior and optimize policies before deployment in live auctions.
  • Proactively adopt new patterns, technologies, and engineering practices to improve availability, efficiency, performance, and scalability across the bidding stack.
  • Mentor engineers, and foster a culture of high-quality execution, innovation, and accountability.
  • Explore and invest in emerging AI techniques — multi-agent systems, adaptive optimization—to enhance the autonomy, intelligence, and impact of the bidding platform.


Qualifications

Required Qualifications:

  • 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.

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

  • 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.
  • 5+ years of experience developing and deploying large-scale distributed systems in production environments.
  • 5+ years of hands-on experience in machine learning operations (MLOps), including pipeline automation, monitoring, and lifecycle management
  • 3+ years of hands-on experience with large-scale streaming platforms such as Apache Spark or Flink
  • Experience building real world applications using AI techniques.


#MicrosoftAI 



Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay


This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.




Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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Principal Design Architect Principal Design Architect

Location
Mountain View, United States
Job Number
200023034-en-2
City
Mountain View
Team
Design & Research
Country
United States
Discipline
Product Design
Overview

About Microsoft AI (MAI) 

Microsoft AI (MAI) is a newly formed organization advancing Copilot and other consumer AI products. We partner across Bing, Edge, MSN, and Shopping to shape the future of AI powered personal computing. Our mission is to empower every person and every organization on the planet to achieve more. We innovate with a growth mindset, build on respect, integrity, and accountability, and foster a culture of inclusion where everyone can thrive. 

The MAI Brand and Design Systems team is building a cohesive, AI native design system that unifies Microsoft products across desktop, web, and mobile—creating fast, scalable, and intuitive experiences for our customers.  

Why Join Us?

  • Shape the future of consumer AI experiences
  • Collaborate with teams worldwide
  • Advance intuitive, inclusive, trustworthy AI
  • Work in a culture that encourages creativity and rapid experimentation 

Role Overview

As a Principal Design Architect (also known as a Creative Technologist), you’ll be a high level individual contributor working at the intersection of design systems, engineering, and AI tooling. You’ll define how Microsoft’s design system evolves in the AI era—building adaptive, intelligent systems that accelerate designer and developer workflows. We are looking for someone at the frontier of Design Systems; bridging AI, Design Systems, UXE and product.

Your work spans intelligent tools, design to code automation, and AI augmented processes that boost velocity and quality at scale. This isn’t just about UI design; it’s about shaping AI behavior and how people collaborate with machine intelligence.

You Will:

  • Continue to explore emerging AI techniques—prompting, prototyping, and experimentation
  • Build hands on prototypes that advance design ideas
  • Partner with engineering and data science to influence systems, model requirements, and AI behaviors
  • Drive strategic decisions that shape longterm AI experience patterns
  • Work simultaneously on present execution and 6–12 month future vision
  • Elevate team fluency through coaching, frameworks, and cross disciplinary collaboration 


Responsibilities
  • Bring an AI forward mindset; evaluate system behavior and define quality for complex scenarios
  • Blend design craft with technical curiosity, working beyond pixels using real data and prototypes
  • Influence across PM, Engineering, Data Science, Research, and Design
  • Provide strategic design vision and business rationale
  • Build AI powered tools and pipelines that move concepts to production quickly
  • Embed advanced AI capabilities into the design system for adaptability and workflow integration
  • Prototype intelligent components and adaptive UI patterns
  • Operationalize LLMs, generative UI, and multimodal systems into practical workflows
  • Ensure seamless design system to code integration using AI driven utilities
  • Act as a force multiplier—accelerating cycles, scaling quality, and shaping AI augmented design 


Qualifications

Required Qualifications

  • Master’s Degree in Industrial Design, Product Design, Human Computer Interaction, User Experience, Interaction Design, or related field AND 6+ years experience working in product or service design
    • OR Bachelor’s Degree in Industrial Design, Product Design, Human Computer Interaction, User Experience, Interaction Design, or related field AND 8+ years experience working in product or service design
    • OR equivalent experience (e.g., demonstrated experience working in product or service design or using design thinking to solve problems)

Preferred Qualifications 

  • Experience with LLMs, generative UI, and broader AI/ML technologies
  • Experience designing AI/LLM- powered experiences; familiarity with conversational and voice systems
  • Strong foundation in design systems and frontend engineering
  • Ability to prototype and ship intelligent design to code workflows 
  • Proficiency in Figma and AI prototyping tools; experience with design automation and component libraries
  • Portfolio demonstrating strong visual design craft
  • Ability to thrive in fastpaced, evolving environments
  • Strong communication and storytelling skills
  • Collaborative mindset across design, engineering, and research
  • Experience influencing technical decisions and strategic design direction
  • Experience shipping products, services, or games end-to-end
  • Portfolio including AI behavior, model shaping, orchestration, or agent based prototypes
  • Experience with agents, tool integration, or evaluation frameworks
  • Comfort with ambiguity in AI systems, including uncertainty and fallbacks 
 


Product Design IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay


This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.




Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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Senior Applied Scientist Senior Applied Scientist

Location
Mountain View, United States
Job Number
200022423-en-2
City
Mountain View
Team
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Discipline
Applied Sciences
Overview

Join the Signals Modeling team, part of Microsoft AI Ads Engineering, to shape the future of advanced AI at web scale.

In this role, the Senior Applied Scientist will design and implement state-of-the-art machine learning models and algorithms that power key systems within Microsoft Ads, Copilot, and beyond. The work will directly impact millions of users and advertisers by delivering scalable solutions that enhance ad relevance and optimize user and advertiser experiences. Responsibilities span the full modeling lifecycle, including training data and labeling strategy, feature and signal design, model development, and rigorous offline and online evaluation. Engineers and applied scientists work closely at the intersection of machine learning, economics, and large-scale systems to deliver high-performance real-time inference and robust experimentation in production.

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.



Responsibilities
  • Develop and deploy cutting-edge machine learning models, including transformers, generative AI, and reinforcement learning, to optimize user interactions and ad relevance across Microsoft Ads and Copilot.
  • Design scalable algorithms for online and offline systems, delivering innovative solutions for ads selection, ad generation and ad relevance.
  • Drive experimentation through A/B testing and offline validation to evaluate model performance and refine user behavior predictions.
  • Build robust data pipelines and frameworks for handling large-scale, high-dimensional datasets to support advanced AI applications.
  • Stay at the forefront of AI research, incorporating the latest advancements to drive innovation and impact across Microsoft platforms.


Qualifications

Required Qualifications:

  • Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
    • OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
    • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
    • OR equivalent experience.


Preferred Qualifications:

  • Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
    • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
    • OR equivalent experience.
  • Proven experience in programming and data analysis skills.
  • Proven expertise in the areas of Generative AI, deep learning, Reinforcement learning, transformers or LLM.
  • 5+ years of experience in developing and deploying large-scale machine learning models.


#MicrosoftAI 



Applied Sciences IC4 – The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay


This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.




Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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Member of Technical Staff – Principal Platform Engineer, Copilot Memory and Personalization Member of Technical Staff – Principal Platform Engineer, Copilot Memory and Personalization

Location
Mountain View, United States
Job Number
200023847-en-1
City
Mountain View
Team
Microsoft Superintelligence
Country
United States
Discipline
Software Engineering
Overview
As Microsoft continues to push the boundaries of AI, we are on the lookout for passionate individuals to work with us on the most interesting and challenging AI questions of our time. Our vision is bold and broad — to build systems that have true artificial intelligence across agents, applications, services, and infrastructure. It’s also inclusive: we aim to make AI accessible to all — consumers, businesses, developers — so that everyone can realize its benefits.
 
Microsoft AI (MAI) is seeking an experienced Platform Engineer to help build Copilot memory and personalization — AI that remembers, evolves, and grows with each user. You’ll work in a highly collaborative, fast-paced environment to develop systems that deepen memory with every interaction, personalize experiences to reflect each user’s unique style and goals, and make interactions feel more like working with a trusted partner than using a tool.
 
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.
 
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.


Responsibilities
  • Design and build large-scale Copilot memory and personalization systems leveraging search, embeddings, retrieval, ranking, and Retrieval-Augmented Generation (RAG).
  • Apply subject-matter expertise in cross-product features, collaborating with appropriate stakeholders to drive project plans, release plans, and deliverables across multiple groups.
  • Hold accountability as a Designated Responsible Individual (DRI), mentoring engineers across products/solutions, working on-call to monitor system/product/service for degradation, downtime, or interruptions.
  • Proactively seek out new knowledge and adapt to new trends, technical solutions, and patterns that improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale and share knowledge with other engineers.
  • Enjoy working in a fast-paced, design-driven, product development cycle.
  • Navigate ambiguity and clear roadblocks to deliver solutions quickly and iteratively, ensuring they reach users effectively.
  • Embody our culture and values


Qualifications
Required Qualification
  • 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.
 
Preferred Qualifications
  • 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 Master’s Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
  • Thrive in a fast-paced, collaborative environment and are comfortable making progress in ambiguity.
  • Experience building and deploying machine learning or large language model (LLM) applications at scale.
  • Experience designing and implementing large-scale embedding, retrieval, and ranking systems.


Software Engineering IC5 – The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

Software Engineering IC6 – The typical base pay range for this role across the U.S. is USD $163,000 – $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 – $331,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay


This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.




Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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