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Copilot Security is at the core of Microsoft’s mission to deliver trusted, human-centered AI experiences. We make security and resilience intrinsic to every Copilot interaction—across devices, platforms, and ecosystems. Our work spans secure identity flows, defenses against emerging threats like prompt injection, and privacy-first systems that scale globally. Copilot for consumers is entering a new era of agentic AI—where intelligent agents act on behalf of users across Windows, Edge, web, and mobile. We’re seeking a hands-on Principal Software Engineer to lead the development of security features and innovative solutions that harness agentic AI to both protect our customers and enable new agentic capabilities in Copilot. You’ll design, build, and ship AI-powered defenses, secure orchestration frameworks, and enabling technologies that empower Copilot to act safely and responsibly at scale. This role demands deep engineering expertise, creativity in applying agentic AI to security challenges, and a passion for building systems that balance innovation with trust.
Job Responsibility:
Develop and ship agentic AI-powered security features that proactively protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows
Design and implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms
Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy
Collaborate with product, engineering, security, privacy, and AI teams to drive adoption of agentic security patterns and best practices across Copilot and MAI
Establish and monitor key metrics for agentic AI security and innovation, using data-driven insights to continuously improve defenses and enablement
Align with central Microsoft security and AI roadmaps, influencing platform capabilities and landing them in Copilot and MAI consumer scenarios
Document and evangelize secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions
Mentor engineers and foster a culture of secure innovation, balancing rapid development with rigorous protection for customers
Requirements:
Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
8+ years in technical engineering roles building large-scale services
6+ years hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses
Proven ability to design, build, and ship agentic AI features or frameworks
Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps
Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms
familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns
Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments
Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses
understanding of AI safety evaluation methodologies including adversarial testing and red-teaming
Experience integrating with Azure AI services, Azure OpenAI Service, or Microsoft security platforms (Azure AD, Defender, Purview)
Track record of mentoring experienced engineers, driving adoption of secure agentic AI standards across product teams, and influencing technical roadmaps while balancing innovation velocity with fundamentals
Nice to have:
Master's Degree in Computer Science or related technical field AND 8+ 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 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python