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.
Requirements
- 4+ years technical engineering experience with coding in languages including, but not limited to C++, C, Java, JavaScript, or Python
- 4+ years of 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.
- Experienced with AI, cloud-based architectural patterns and best practices.
Responsibilities
- Coordinate and partner across product teams, develop and support key extensibility features in Microsoft AI products – Microsoft Copilot Studio and Bizchat.
- Design 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.
Other
- This role is based at the Redmond campus with 3 days per week work in the office and 2 days per week work from home.
- 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.
- Collaborate with internal and customer HR, IT, and Facilities stakeholders to understand business needs and translate them into technical solutions.
