Overview About the Team Copilot Security builds the foundations that make Microsoft’s AI experiences trusted, resilient, and safe. We design and implement security capabilities that protect users across Windows, Edge, web, mobile, and third-party ecosystems. Our work spans secure identity flows, defenses against threats like prompt injection, and privacy-first systems that scale globally.
About the Role Copilot is entering a new era of agentic AI, where intelligent agents take actions on behalf of users. We’re looking for a Software Engineer II with solid fundamentals and high growth potential,someone who can quickly deepen their expertise in AI-driven security and expand their ownership over time. You’ll contribute to secure orchestration frameworks, AI-powered defenses, and the core systems that ensure Copilot’s actions remain trustworthy.
Responsibilities Build and ship security features that protect Copilot from threats such as prompt injection, adversarial manipulation, and unsafe agentic workflows. Implement secure orchestration components that allow Copilot to safely delegate and execute actions across devices, services, and platforms. Contribute to developing intelligent agents that apply information-flow reasoning, guardrails, and common-sense constraints for security and privacy. Collaborate with partner teams across engineering, product, security, privacy, and AI to adopt secure agentic patterns and best practices. Instrument and monitor key metrics for agentic AI security, using data to improve reliability, safety, and user trust. Write clear documentation for secure agentic patterns, including safe-delegation guidelines and emerging risk considerations. Demonstrate high growth potential by progressively expanding technical scope, autonomy, and ownership as you gain experience with agentic AI and security systems.
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.
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.
Experience building production-quality software systems. 1–2+ years building or operating large-scale distributed systems or services. Experience working on security-critical, privacy-sensitive, or AI-powered systems. Familiarity with agentic AI concepts such as tool calling, orchestration, or multi-agent workflows. Experience with modern cloud development, containerization (Docker, Kubernetes), or distributed compute frameworks. Exposure to evaluation or observability tooling for LLM-based applications (e.g., LangFuse, MLFlow, Phoenix) or interest in learning these systems. Ability to communicate technical concepts clearly and collaborate effectively across teams. Demonstrated high growth potential, with solid learning velocity and the ability to quickly take on broader areas of ownership. Growth mindset with interest in developing deeper expertise in AI security, orchestration, and emerging threat models.
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