Lead AI Engineer

About the role

Lead the definition, design, and implementation of security capabilities for the secure adoption of AI across enterprise platforms.

Responsibilities

• Define security and risk requirements for enterprise AI platforms and agent-based systems.
• Translate security, risk, and regulatory expectations into clear technical controls and implementation patterns.
• Partner with AI platform, engineering, and product teams to embed security requirements into architecture, design, and operations.
• Conduct security reviews and threat modeling for AI use cases and platform capabilities.
• Define and guide the implementation of controls related to AI agent identity, access, data usage, and behavior.

Requirements

• 7+ years of experience in information technology or cybersecurity, with at least five years in security engineering or a related technical area.
• Hands-on experience designing and implementing security controls in modern environments, including cloud platforms, APIs, and identity systems.
• Experience defining security requirements, standards, or control frameworks in complex enterprise environments.
• Practical experience or strong working knowledge of AI or LLM-based systems, including their behavior, risks, and security implications.
• Experience partnering with engineering and platform teams to integrate security into development and operations.
• Demonstrated ability to evaluate technologies and guide technical decision-making.

Pay

Competitive annual salary ($121,000 - $173,000) plus comprehensive Total Rewards program.

About the company

Opportunity to work at the intersection of cybersecurity, platform engineering, and emerging AI technologies with a leading organization dedicated to property risk management and resilience. Contribute to defining the security model for enterprise AI adoption.