Principal Software Engineer (AI Security)

TL;DR

Principal Software Engineer – Copilot Security (AI): Developing security features and solutions using agentic AI to protect customers across devices and platforms with an accent on secure orchestration frameworks and AI-powered defenses. Focus on balancing innovation with trust, mitigating emerging threats, and enabling secure scenarios.

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.

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

Company

Microsoft’s mission is to empower every person and every organization on the planet to achieve more.

What you will do

• Develop and ship agentic AI-powered security features.
• Design and implement secure orchestration frameworks.
• Invent and apply new intelligent agents.
• Collaborate with product, engineering, security, privacy, and AI teams.
• Monitor key metrics for agentic AI security and innovation.
• Document secure agentic AI patterns.

Requirements

• Bachelor’s Degree in Computer Science or related field AND 8+ years of technical engineering experience with coding in 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.
• Proven ability to design, build, and ship agentic AI features or frameworks.

Nice to have

• Master’s Degree in Computer Science or related technical field AND 10+ 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 or equivalent 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, and ML lifecycle management in production environments.
• Experience integrating with Azure AI services, Azure OpenAI Service, or Microsoft security platforms (Azure AD, Defender, Purview).

Culture & Benefits

• Employees come together with a growth mindset, innovate to empower others, and collaborate to realize shared goals.
• Values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.