AI Security Engineer

About the role

The Senior Engineer – AI Security Engineering serves as a senior individual contributor focused on designing, building, deploying, and continuously improving security controls for AI systems across the enterprise. This role is hands-on and requires strong technical ownership and cross-functional collaboration.

Responsibilities

• Engineer and operationalize security controls for AI systems, services, and supporting infrastructure
• Accelerate safe adoption of AI capabilities across business and technology teams
• Evaluate, pilot, and implement AI security tooling and control frameworks
• Improve visibility, detection, and risk reduction for enterprise AI usage
• Provide technical guidance and implementation patterns for secure AI deployment

Requirements

• 5+ years of experience in security engineering, cloud security, platform engineering, or a related technical discipline
• Experience delivering enterprise-scale security engineering solutions in complex environments
• Demonstrated success in a senior individual contributor role requiring strong technical ownership and cross-functional collaboration

Qualifications

• Strong knowledge of cloud security fundamentals, one or more of the following:
• IAM, Network segmentation, Encryption, Secrets management, Logging and monitoring, Least privilege and workload isolation
• Working knowledge of AI/ML systems, one or more of the following:
• Generative AI and LLM-based services, Agentic workflows and AI integrations, Model access patterns, APIs, and orchestration layers, AI-related architectural risks including MCP and A2A interaction patterns
• Understanding of AI security risks, one or more of the following:
• Prompt injection, Sensitive data exposure, Insecure or untrusted output handling, Model misuse and excessive privilege, Third-party and supply chain risks
• Familiarity with:
• OWASP Top 10 for LLM Applications, Secure AI engineering practices, AI risk and governance concepts
• Data Security Experience helping secure sensitive data in modern application or AI contexts, one or more of the following:
• Data classification, Access controls, Privacy boundaries, Retention concepts, DLP-related requirements

Skills

• Strong knowledge of cloud security fundamentals
• Experience with modern application, platform, and infrastructure security practices
• Experience with AI/ML systems
• Experience with AI security tools and frameworks
• Experience with security automation and operational efficiency

Benefits

• Comprehensive health plan
• No-cost short- and long-term disability
• Company-paid life insurance
• Legal services
• Retirement pension funded entirely by MetLife and 401(k) with employer matching
• Group discounts on voluntary insurance products
• Employee Assistance Program (EAP)
• Digital mental health programs
• Parental leave
• Paid time off
• Paid holidays
• Volunteer time off
• Tuition assistance

Pay

The expected salary range for this position is $120,000- $180,000. This role may also be eligible for annual short-term incentive compensation and stock-based long-term incentives. All incentives and benefits are subject to the applicable plan terms.

Schedule

This is a hybrid role requiring a minimum of 3 days per week in office.