Software Engineer II
Microsoft
Software Engineer II
Redmond, Washington, United States
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Overview
We are seeking a skilled and visionary Developer to lead the design, development, and scaling of AI-powered multi-agent systems. You will architect intelligent, secure, and scalable agent-based platforms that integrate deeply with Microsoft 365, Copilot, and the Microsoft Graph ecosystem. This role is foundational to our AI transformation journey and will shape the future of agentic architecture at Microsoft and extensibility to our partner ecosystem.
You’ll work closely with engineering, product, and design teams to build scalable, secure, and compliant agentic systems that extend the reach of Microsoft 365 Copilot. You’ll define the technical foundation for partner extensibility and ensure the architecture supports rapid innovation and enterprise-grade performance.
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.
Qualifications
Required Qualifications:
- Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- 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.
Preferred Qualifications:
- Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Proficiency in Python, C#, 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.
- Experience, 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.
- Familiarity with Microsoft 365 extensibility, Copilot Studio, and Microsoft Graph API.
- Knowledge of MCP (Model Context Protocol) and agent coordination protocols.
- Contributions to open-source AI or agentic frameworks.
Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay
Microsoft will accept applications for the role until November 6, 2025.
#DPG #G+E #Copilot
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.