Staff Enterprise Security Engineer, AI Security

Responsibilities

• Design and implement secure reference architectures for enterprise AI platforms, ensuring data integrity, regulatory compliance, and resilience against evolving AI threats.
• Establish a framework for AI vetting and drive the cultural and policy changes needed to institutionalize it across the organization.
• Collaborate with cross-functional partners to develop the long-term roadmap for agentic AI identity and posture management.
• Maintain and improve enterprise security posture through high-quality code and infrastructure management using infrastructure as code (IaC).
• Mentor junior engineers and advise leadership on the evolving AI security landscape.

Requirements

• 7+ years of experience in security engineering or infrastructure security.
• 2+ years of experience leading teams in a technical or staff engineering capacity at an enterprise.
• Expertise in cloud security, including AWS and Google Cloud.
• Experience with container security and Kubernetes.
• Proven ability to design and deploy complex security systems at scale.
• Strong proficiency in Python, Go, or Java.
• Excellent communication skills, including the ability to explain complex AI security risks to non-technical stakeholders.

Nice-to-haves

• Experience building, deploying, and reviewing automation for complex security workflows.
• Experience with AI-driven and traditional automation tools.

Compensation and Benefits

• Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont, or Washington, D.C.: $155,520–$194,400.
• New York, New Jersey, Washington State, or California outside the San Francisco Bay Area: $164,640–$205,800.
• San Francisco Bay Area, California: $182,960–$228,700.
• May be eligible for equity and a corporate bonus plan.
• Benefits generally include health insurance, a 401(k) retirement account, paid sick time, paid personal time off, and paid parental leave.