Job description

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 Experiences, Copilot Engineering team is seeking skilled AI Platform Engineers to advance the next generation of capabilities for our personal AI, Copilot. This role involves building and operating the AI platform services that power Copilot—model serving, orchestration, retrieval, and the APIs that product teams build on—with full ownership from design through production. Ideal candidates will have robust experience in infrastructure, platform engineering, and machine learning, bringing technical expertise and a methodical problem-solving approach. Collaboration across teams at Microsoft is key, as you’ll work to expand Copilot's integrations and scope, creating world-class consumer experiences in a fast-paced, innovative environment. Join a team where positivity, empathy, and effectiveness are as valued as technical acumen.  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 Bay Area and onsite 4 days a week. Starting January 26, 2026, AI Experiences 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 • Build new AI features that enhance Copilot.  • Build secure and performant AI Platform services that power Copilot.  • Work collaboratively with other AI Researchers, Platform, infrastructure, application engineers 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.  • Operate in a fast-paced, design-driven product development cycle, owning your systems in production including participation in on-call.  • Embody our  Culture  and  Values . 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. Preferred Qualifications:  • Experience leveraging generative AI technologies to develop innovative and user-focused product features.  • 6+ years' experience building APIs and creating pipelines for large-scale products  • 6+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use of datastores such as relational databases and key-value stores.   • Experience using Machine Learning frameworks, including experience using, deploying, and scaling large language models (LLMs), 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.  • Experience with retrieval-augmented generation, agent frameworks, or tool-calling systems at scale, and with building evaluation and experimentation infrastructure for AI systems.  • 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 IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $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: careers.microsoft.com 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.

Requirements

Must-haves

By applying to this U.S. Mountain View, CA position, you are required to be local to the San Francisco Bay Area and onsite 4 days a week.
Build new AI features that enhance Copilot.
Build secure and performant AI Platform services that power Copilot.
Work collaboratively with other AI Researchers, Platform, infrastructure, application engineers 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.
Operate in a fast-paced, design-driven product development cycle, owning your systems in production including participation in on-call.
Embody our  Culture  and  Values .
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.
6+ years' experience building APIs and creating pipelines for large-scale products
6+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use of datastores such as relational databases and key-value stores.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Nice-to-haves

Experience leveraging generative AI technologies to develop innovative and user-focused product features.
Experience using Machine Learning frameworks, including experience using, deploying, and scaling large language models (LLMs), 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.
Experience with retrieval-augmented generation, agent frameworks, or tool-calling systems at scale, and with building evaluation and experimentation infrastructure for AI systems.
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.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningjavajavascriptpythonazureawsgcp

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Vision