Principal Software Engineer (AI)

TL;DR

Principal Software Engineer (Copilot Security AI): Developing and shipping agentic AI-powered security features and secure orchestration frameworks with an accent on protecting users from prompt injection and adversarial manipulation, and enabling responsible action at scale. Focus on inventing and applying new intelligent agents, ensuring safe delegation, and integrating with core Microsoft security and AI roadmaps.

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

Salary: USD $163,000 – $296,400 per year (U.S. base pay range), with a different range of USD $220,800 – $331,200 per year for San Francisco Bay area and New York City metropolitan area.

Company

hirify.global is at the forefront of delivering trusted, human-centered AI experiences, making security and resilience intrinsic to every Copilot interaction across devices, platforms, and ecosystems.

What you will do

• Develop and ship agentic AI-powered security features protecting users from threats like prompt injection and adversarial manipulation.
• Design and implement secure orchestration frameworks for safe delegation and execution of actions across devices and services.
• Invent and apply new intelligent agents leveraging information flow analysis and common sense judgment for security and privacy.
• Collaborate with product, engineering, security, privacy, and AI teams to drive adoption of agentic security patterns.
• Monitor key metrics for agentic AI security and innovation, using data-driven insights for improvement.
• 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, OR equivalent experience.
• 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.
• Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms.

Nice to have

• Master’s Degree in Computer Science or related technical field AND 10+ years technical engineering experience, OR Bachelor’s Degree in Computer Science AND 12+ years experience.
• 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 (Phoenix, MLFlow, LangFuse).
• 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).

Culture & Benefits

• Work in a culture that fosters a growth mindset and values respect, integrity, and accountability.
• Contribute to empowering every person and organization globally to achieve more.
• Opportunity to shape safe, trustworthy, and innovative AI experiences for hundreds of millions of users.
• Make a global impact on Microsoft’s most transformative products.
• Access to benefits and other compensation as detailed on the Microsoft careers website.