Microsoft is seeking to incubate and accelerate growth across Microsoft 365 with AI-powered experiences like Copilot, and drive partner-led scale by embedding intelligent agents into workflows.
Requirements
- 1+ years of experience working with distributed systems, microservices, and/or cloud-native architectures (Azure preferred)
- 1+ years of experience in AI/ML or agentic systems
- Proficiency in Python, C-Sharp, and TypeScript
- Experience with AI frameworks such as LangChain, Semantic Kernel, and orchestration tools like Autogen
- Familiarity with LLMs (Large Language Models), vector databases, and RAG (Retrieval-Augmented Generation) pipelines
- Familiarity with Microsoft 365 extensibility, Copilot Studio, and Microsoft Graph API
- Knowledge of MCP (Model Context Protocol) and agent coordination protocols
Responsibilities
- Architect and implement scalable, secure, and compliant multi-agent systems using LLMs, orchestration frameworks, and Microsoft’s AI stack.
- Integrate agents with Microsoft Graph, Power Platform, and internal APIs to enable cross-system intelligence and automation.
- Define and enforce architectural standards for agent interoperability, real-time processing, and fault tolerance.
- Drive performance optimization and observability improvements across agentic workflows.
- Oversee Live Site operations for agentic systems, ensuring reliability, rapid incident response, and continuous improvement.
- Ensure compliance with Microsoft’s Responsible AI and security standards, including Role Based Access Control (RBAC), data masking, and audit logging.
- Collaborate with partner engineering teams to build extensible frameworks that support third-party agent development and deployment.
Other
- Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience
- Embody our culture and values
- Ability and willingness to work collaboratively and independently with others on the implementation of large, distributed systems
- Solid grasp of security, compliance, and data governance in enterprise environments
- Contributions to open-source AI or agentic frameworks
