Senior Manager, AI Runtime Security

About the role

The Senior Manager, AI Runtime Security leads a team focused on building and enforcing AI runtime protection and operational AI security controls. This includes defining and executing strategies, operationalizing AI controls, partnering with IT and cybersecurity teams, and establishing security standards.

Responsibilities

• Build and lead a team of engineers and analysts focused on AI runtime protection and operational AI security controls
• Define and execute strategy for AI runtime security, including guardrails, behavioral attestation, and rogue agent detection
• Operationalize AI runtime controls across AI gateways, APIs, and production environments
• Partner with IT, platform engineering, and cybersecurity teams to integrate detection, response, containment, and kill-switch capabilities
• Build scalable security operations processes to enforce AI runtime protections in real time across deployed AI systems
• Drive integration of runtime telemetry into enterprise monitoring and incident response workflows
• Establish security standards and best practices for securing AI-enabled applications and agentic systems
• Collaborate across architecture, cloud, and engineering teams to embed AI security controls into enterprise platforms

Requirements

• 10+ years of experience securing endpoints, cloud platforms and SaaS environments
• Deep experience with AWS, Azure, and/or Google Cloud Platform (GCP) security architectures
• Experience leading security engineering or cyber operations teams in enterprise environments
• Strong understanding of AI systems, AI runtime controls, and modern AI security risks
• Familiarity with AI guardrails, AI gateways, behavioral monitoring, and runtime enforcement technologies
• Experience integrating security controls into production platforms and operational workflows
• Strong communication and stakeholder management skills with the ability to influence cross-functional teams

Preferred Qualifications

• Certifications such as: CCSP AWS Certified Solutions Architect – Associate Google Associate Cloud Engineer
• Experience securing AI/ML platforms, autonomous agents, or generative AI systems
• Familiarity with real-time detection and response capabilities for AI-enabled environments

About Vanguard

Vanguard is an equal opportunity employer committed to providing a working environment that is free from discrimination, prejudice, and bias. Vanguard promotes continuous learning and rotations to support the growth and development of its crew members.

Employee Testimonials

• Rajesh D.: “Over the past 24 years, I’ve had the privilege of being part of Vanguard that is truly client-owned. Vanguard’s culture of niceness and collaboration inspires me every day.”
• Akua A.: “My commitment to cybersecurity at Vanguard is deeply rooted in the collaborative environment and continuous learning opportunities.”
• Diane T.: “Vanguard’s commitment to its crew and the mission-driven purpose of the organization inspire me to stay focused and client-driven.”
• Kelly P.: “Vanguard’s mission, culture, and encouragement to learn continuously have given me the opportunity to develop in ways I never imagined.”
• Megan M.: “Continuous learning and rotations at Vanguard have allowed me to grow as a technical professional and leader.”
• Rehana V.: “Vanguard’s commitment to crew members’ diverse needs and perspectives has helped me grow into the best version of myself.”