Senior Software Engineer

We are seeking a hands-on Principal Software Engineer for the Employee Self Service Platform Extensibility team. This team is at the forefront of enabling AI-powered self-service experiences across HR, IT, Facilities, and other enterprise domains. You will drive the development of extensibility features that empower AI agents to deliver seamless, personalized, and actionable employee support through Microsoft Copilot Studio and BizChat.

What we do:
The Employee Self-Service (ESS) product is an emerging and cornerstone initiative within Microsoft's Copilot ecosystem, designed to streamline and personalize employee interactions across HR, IT, and facilities domains. ESS empowers customers to quickly create conversational AI agents that integrates with enterprise systems to deliver accurate, context-aware responses and automate routine tasks.
Our Team:
We are a geo-distributed team of engineers in Redmond WA and India, with deep development partnerships with the Microsoft Copilot Studio team, Microsoft AI team and Bizchat team. We partner closely with a talented and senior set of Product Managers, Technical Program Managers, designers, and researchers. We're a new and emerging product. Both the competition and technology are evolving rapidly, and we're looking for individuals that current on AI technologies, thrive in ambiguity, learns quickly, curious, and capable of solving problems across multiple code stacks.
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.

• Coordinate and partner across product teams, develop and support key extensibility features in Microsoft AI products – Microsoft Copilot Studio and Bizchat.
• Collaborate with internal and customer HR, IT, and Facilities stakeholders to understand business needs and translate them into technical solutions.
• Architect and implement extensibility features that allow AI agents to interact with enterprise systems (e.g., HRIS, ITSM, Facilities platforms).
• Own the delivery of key extensibility features such as agent publishing, multi-agent architecture improvements, MCP and connectors, and conversational workflow customization.
• Identify and drive performance, scalability, and reliability improvements across the ESS platform.
• Establish engineering best practices, including CI/CD, telemetry, and quality assurance.
• Embody our culture and values to responsibilities

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#, Java, JavaScript, or Python
  • OR equivalent experience.
• 6+ years experience designing, building, and managing high-scale full-stack systems including authentication, microservices, distributed systems, data and analytics workloads, and AI training and inferencing services.
• 6+ years experience with AI, cloud-based architectural patterns and best practices.

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/