Overview
AI agents are rapidly becoming foundational across industries, transforming how organizations automate workflows, make decisions, and scale productivity. Unlike traditional prompt-based systems, modern agents can reason, plan, and take actions autonomously, unlocking powerful new business scenarios while introducing new challenges around security, governance, and control.
Agent 365 is Microsoft’s unified control plane for AI agents, providing capabilities across agent registry, lifecycle management, access governance, observability, interoperability, and security. The Agent 365 Security team builds the experiences, services, and infrastructure that help organizations securely govern agents across their enterprise.
We are looking for a Principal Software Engineer to help define and build modern, high-scale, inclusive end-to-end experiences that empower administrators to effectively manage agent security, policies, and tools. This role is ideal for someone who enjoys solving complex distributed-system and product problems, building intuitive and performant user experiences, and collaborating across engineering, product, design, research, and partner teams.
In this role, you will work across the stack, with a balanced focus on front-end and back-end engineering. You will drive architecture and technical direction, design and build scalable services and experiences, and lead features from concept through production. Your work will shape how organizations securely operate and govern AI agents in enterprise environments, enabling intelligent workflows, actionable insights, and seamless integrations at scale.
As a Principal engineer, you will also help establish engineering patterns and architectural direction, influence investments across team boundaries, mentor engineers, and partner with stakeholders across Microsoft to solve emerging security and governance challenges in the rapidly evolving agent ecosystem.
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.
Responsibilities
- Lead the architecture and design of scalable AI infrastructure, setting technical direction for complex, large-scale systems.
- Define and drive end-to-end architecture for Agent Security, Policy, and Tool Governance, solving complex and ambiguous engineering problems across organizational boundaries.
- Establish technical strategy and engineering frameworks for experimentation and evaluation.
- Define success criteria and lead analysis of experimentation scorecards, translating results into engineering priorities and product improvements.
- Partner closely with Product Managers and engineering leaders to define scenarios, dataset
