MTS - AI Platform Engineer

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.  
• Embody our Culture and Values. 

Qualifications

Required Qualifications: 

• Bachelors 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.