Microsoft is looking to solve the business problem of enabling AI-powered self-service experiences across HR, IT, and Facilities domains by developing extensibility features for their Employee Self-Service (ESS) platform, which integrates with enterprise systems to deliver personalized and actionable employee support through Microsoft Copilot Studio and BizChat.
Requirements
- 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C-Sharp, Java, JavaScript, or Python
- 2+ years of professional software engineering experience with deep understanding of distributed systems/Microservices architectures.
- 1+ years' of experience in design, coding, rapid prototyping, debugging, and problem-solving.
- Ability to work on cross-platform integration.
- Solid understanding of open APIs from ISVs like Service Now, SAP Success Factors, Workday, Oracle HRMS, ADP etc.
- Understanding of LLM and copilot is an added advantage.
- Cross-platform Single Sign On, On behalf of (OBO) development experience.
- Experience in Identity Frameworks including Oauth, Authentication, Authorization, OpenID Connect authentication.
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
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.
- Microsoft Cloud Background Check
- Exposure communicating, collaborating and navigating ambiguity in a cross-group environment
- Understanding driving quality experience for customers.
