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 strategies, operationalizing controls, and collaborating with cross-functional teams to integrate detection, response, containment, and kill-switch capabilities.

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

What Success Looks Like

• AI runtime protections are consistently enforced across enterprise AI deployments
• Security controls scale effectively alongside rapidly growing AI and agentic use cases
• Detection and response capabilities reduce operational and business risk from unsafe or rogue AI behaviors
• Cross-functional teams adopt secure-by-design AI runtime patterns and operational standards

About Vanguard

Vanguard is a financial services company dedicated to the long-term financial wellbeing of its clients. It operates in multiple locations including Malvern, PA, US and Dallas, TX, US. Vanguard's commitment to equal employment opportunity and diversity is reflected in its policies and practices.

Empowered to Learn, Grow, and Thrive

• Rajesh D.: "Over the past 24 years, I've had the privilege of being part of Vanguard that is truly client-owned. What makes this place exceptional is its culture of niceness and collaboration."
• Akua A.: "My initial IT roles provided me a solid technical foundation, while the leadership program offered exposure to various facets of technology and strategic thinking."
• Diane T.: "Throughout my Vanguard journey, I've gotten a chance to explore various roles in security which has helped me navigate my career."
• Kelly P.: "I'm fortunate to not only have found that during my tenure at Vanguard, but also to find a place where I can build a long and engaging career."
• Megan M.: "As a company, we promote continuous learning and rotations which has allowed me to grow as a technical professional and as a leader."
• Rehana V.: "During my time here, I have received endless support and opportunities for growth and learning."