Principal Software Engineer (AI)

TL;DR

Principal Software Engineer (AI/Cybersecurity): Building and optimizing AI-powered security features for Copilot, focusing on agentic AI, secure orchestration frameworks, and advanced threat defenses. Focus on designing, implementing, and shipping solutions that protect users from prompt injection, adversarial manipulation, and abuse of agentic workflows at scale.

Location: Expected to work from the office at least four days per week if living within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location. Role based in Redmond, United States.

Salary: USD $163,000 – $296,400 per year

Company

hirify.global is at the core of Microsoft’s mission to deliver trusted, human-centered AI experiences.

What you will do

• Develop and ship agentic AI-powered security features to protect users from threats such as prompt injection and adversarial manipulation.
• Design and implement secure orchestration frameworks for safe delegation and execution of actions across devices, services, and platforms.
• Invent and apply new intelligent agents that leverage information flow analysis and common sense/judgment guardrails for security and privacy.
• Collaborate with product, engineering, security, privacy, and AI teams to drive adoption of agentic security patterns and best practices.
• Align with central Microsoft security and AI roadmaps, landing platform capabilities in Copilot and MAI consumer scenarios.

Requirements

• Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including C, C++, C#, Java, Go, or Python.
• 8+ years in technical engineering roles building large-scale services.
• 8+ 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.

Nice to have

• Master’s Degree in Computer Science or related technical field AND 10+ years technical engineering experience.
• Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms.
• Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment.
• Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems.
• Experience integrating with Azure AI services, Azure OpenAI Service, or Microsoft security platforms (Azure AD, Defender, Purview).

Culture & Benefits

• Directly shape how hundreds of millions of users experience safe, trustworthy, and innovative AI.
• Be at the forefront of defining how agentic AI can proactively defend users, mitigate emerging threats, and unlock new secure scenarios.
• Work in a culture of inclusion where everyone can thrive, built on values of respect, integrity, and accountability.
• Eligible for benefits and other compensation; additional information available via careers.microsoft.com.