Principal Software Engineer

Overview
Copilot Studio is Microsoft’s enterprise platform for building and interacting with AI-powered, low-code solutions—enabling the creation of intelligent agents and conversational experiences used by millions of users. The Copilot Studio team designs and delivers intuitive authoring and runtime experiences that empower citizen developers and pro developers alike to solve real-world problems and extend Microsoft’s family of Copilots across business systems and channels.
We’re looking for a Principal Software Engineer with a strong front-end focus to help build modern, high-scale, and inclusive user experiences. You’ll work on intuitive authoring surfaces that support diverse personas in fusion teams, translating complex AI capabilities into approachable, high-quality interactions. 
As part of a highly collaborative SaaS team, you’ll own features end-to-end—from development to production—building automated tests, ensuring quality and reliability, and delivering continuously at scale. We value a growth mindset, shared ownership, and the ability to take ideas from concept to impact while shaping how people build and interact with 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.

Responsibilities

• Define and drive the technical and experience architecture for major areas of Copilot Studio, with a strong emphasis on front-end frameworks, authoring experiences, and experience quality at scale.
• Lead the design of complex, cross-team solutions spanning multiple components and services, setting direction for frontend architecture, performance, accessibility, and maintainability.
• Partner with senior product, design, and research leaders to shape long-term experience strategy, translating ambiguous product and business goals into durable technical solutions.
• Influence and align engineering decisions across teams and organizations, ensuring cohesive, consistent user experiences across Copilot Studio and the broader Microsoft Copilot ecosystem.
• Anticipate long-term technical and experience challenges, proactively identifying risks and opportunities, and driving architectural improvements that scale with platform growth.
• Set a high bar for engineering and experience quality through technical leadership, mentorship of senior engineers, and stewardship of best practices across the organization.

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: 

• 10+ years of industry experience building and shipping commercial software applications or services.
• 5+ years of experience working in a high-scale SaaS environment, building and supporting globally distributed, production services.
• Demonstrated experience building and shipping AI-powered product features using large language models (LLMs) or AI tools as part of modern software development.
• 5+ years of professional experience building front-end web applications using JavaScript or TypeScript
• Experience building and shipping user-facing product features where large language models (LLMs) or AI-powered tools are a core part of the experience in production systems.
• Experience designing and delivering large-scale, user-facing software systems, with a proven ability to make sound architectural and experience tradeoffs across front-end and distributed system boundaries.
• Demonstrated technical leadership in building complex, production-grade applications, including ownership of system design, performance, reliability, accessibility, and long-term maintainability.
• Hands-on experience building and shipping AI-powered product features, where large language models (LLMs) are a core part of the user or developer experience—not prototypes—including real-world iteration base