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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.
Job Responsibility:
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)
Reviews and breaks down work items into tasks with stakeholder collaboration, provide estimations, and escalate delays, while also supporting feature deployments to customers, considering user and service impacts, and adhering to best deployment practices for safety
Collaborates with key stakeholders to define feature requirements, integrates feedback to enhance design, and establishes feedback loops for continuous improvement based on customer metrics
Evaluates AI technologies (such as LLMs, SLMs, embeddings) and architectures (such as orchestration patterns, RAG, etc) when developing solutions. Specifies or implements AI platform improvements like fine-tuning or training custom ML models
Applies coding standards and best practices through code reviews, developing maintainable and extensible code with guidance. Utilizes debugging tools to proactively and reactively address issues in product features, ensuring code quality and reliability
Ensures compliance with security, privacy, safety, and accessibility standards, leverages developer tools for code creation and debugging, contributes to automation in production and deployment, and proactively seeks knowledge to improve product availability, reliability, efficiency, and performance at scale
Understands and applies Microsoft’s responsible AI practices to ensure systems meet our commitments to our customers
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
Requirements:
Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
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
Nice to have:
Deep knowledge of AI, cloud-based architectural patterns and best practices
8+ years of experience in designing, building, and managing high-scale full-stack systems including authentication, microservices, distributed systems, data and analytics workloads, and AI training and inferencing services