Member of Technical Staff, AI Platform Engineer

** 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 (MS AI) is seeking skilled engineers to advance the next generation of capabilities for our personal AI, Copilot. This role involves crafting user-facing features powered by Generative AI while taking full ownership of their development-from inception to delivery, ensuring exceptional quality and seamless implementation. 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 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.

** Responsibilities*
* + Work on building 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.

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

+ Embody our Culture  () and Values () .

** Qualifications*
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* Required Qualifications:

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* + Bachelor's degree in computer science, or related technical discipline AND 4+ years technical engineering experience building customer-facing applications/products with coding in languages including, but not limited to C#, Python, Java, Golang

+ OR equivalent experience.

+ Experience leveraging generative AI technologies to develop innovative and user-focused product features.

+ 4+ years' experience building APIs and creating pipelines for large-scale products

+ 4+ years' experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Extensive use data stores like RDBMS, key-value stores, etc.

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* Preferred Qualifications:

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* + 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,…