Microsoft AI (MAI) is seeking experienced Full Stack Engineers to help build mission applications and platform components for our personal AI, Copilot systems. This role is part of Microsoft's ambitious vision to build systems with true artificial intelligence across agents, applications, services, and infrastructure.
The Data Platform team is responsible for building core data pipelines that help fine-tune models, support introspection and retrospection of data to constantly evolve and improve human AI interactions. The ideal candidate will possess technical prowess, a methodical approach to problem-solving, proficiency in distributed systems, and mastery of templating to architect enduring solutions.
As a Full Stack Engineer, you'll work with cutting-edge AI technologies while contributing to Microsoft's mission of making AI accessible to everyone - consumers, businesses, and developers. The role requires a blend of technical expertise in distributed systems, full-stack development, and a collaborative mindset.
The position offers a competitive salary range of $137,600 - $294,000 (varying by location) and requires in-office presence 3 days a week in either New York or Redmond. You'll be working on high-impact projects that directly influence Microsoft's AI initiatives, particularly the Copilot systems.
Key technical requirements include 6+ years of engineering experience, strong background in distributed systems, and expertise in various programming languages and frameworks. The role demands both technical excellence and strong collaboration skills, as you'll be working closely with cross-functional teams including AI researchers.
This is an excellent opportunity for experienced engineers who want to shape the future of AI while working with industry-leading technologies and talented teams. The role offers comprehensive benefits, including industry-leading healthcare, educational resources, and various other perks that make Microsoft a great place to work.
Join us in building the next generation of AI systems that will transform how people and organizations interact with technology.