Principal Software Engineer (AI)

TL;DR

Principal Software Engineer (AI): Building and optimizing AI-powered security features, secure orchestration frameworks, and enabling technologies for Copilot with an accent on secure identity flows, threat defenses, and privacy-first systems. Focus on applying agentic AI to security challenges, mitigating emerging threats like prompt injection, and ensuring systems balance innovation with trust at scale.

Location: Redmond, United States. Starting January 26, 2026, employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) of that location.

Salary: $139,900 – $274,800 USD per year (US general) or $188,000 – $304,200 USD per year (San Francisco Bay area and New York City metropolitan area).

Company

hirify.global is at the core of Microsoft’s mission to deliver trusted, human-centered AI experiences, making security and resilience intrinsic to every Copilot interaction.

What you will do

• Develop and ship agentic AI-powered security features to proactively protect users from threats.
• Design and implement secure orchestration frameworks for Copilot to safely delegate and execute actions.
• 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.
• Establish and monitor key metrics for agentic AI security and innovation using data-driven insights.
• Mentor engineers and foster a culture of secure innovation, balancing rapid development with rigorous protection.

Requirements

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in C, C++, C#, Java, JavaScript, or Python.
• 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.
• 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.
• English: B2 required.

Nice to have

• Master’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience OR Bachelor’s Degree AND 12+ years 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 (Phoenix, MLFlow, LangFuse).
• Experience integrating with Azure AI services, Azure OpenAI Service, or Microsoft security platforms (Azure AD, Defender, Purview).

Culture & Benefits

• A growth mindset, innovation to empower others, and collaboration to realize shared goals.
• Values of respect, integrity, and accountability to create a culture of inclusion.
• Employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location, starting January 26, 2026.
• Microsoft is an equal opportunity employer committed to diversity and inclusion.