AI agents are rapidly becoming foundational across industries, transforming how organizations automate workflows, make decisions, and scale productivity. Unlike traditional promptbased systems, modern agents can reason, plan, and execute actions autonomously unlocking new business scenarios and operational efficiencies. By 2028, more than 1.3 billion agents are expected to be in active use worldwide, creating not only unprecedented opportunities but also a massive new ecosystem that organizations must govern, monitor, and secure.

Agent 365 is Microsoft’s unified control plane for AI agents—providing a comprehensive platform for agent registry, lifecycle management, access governance, observability, interoperability, and security. The Agent 365 Tools Team builds the tooling, infrastructure, and evaluation systems that empower agents to perform reliably at scale.

We are looking for a Senior Software Engineer to join our team to develop modern, high‑scale, and inclusive end‑to‑end experiences that empower agent admins to govern security, policy and tools effectively. If you thrive on building intuitive, performant user interfaces and robust, scalable services, and you enjoy collaborating with engineers, designers, and researchers to bring ideas to life, this is the role for you.

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.

In this position, you’ll work across the stack with a balanced focus on frontend and backend development. You’ll design, build, and operate features that power Agent 365 security, policies and tools. Your work will shape how agents can operate security in enterprise environments with AI‑driven tools, enabling intelligent workflows, actionable insights, and seamless integrations at scale.

• Design and Build Scalable AI Infrastructure.
• Design and build E2E solutions for Agent Security, Policies and Tool Governance.
• Develop Experimentation and Evaluation Frameworks.
• Analyze experimentation scorecards.
• Collaborates closely with Product Managers to help them define datasets for scenarios and helps analyze experimentation scorecards.
• Leads data acquisition efforts and ensures data is properly formatted and accurately described.