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Vanguard

Senior Manager, AI Runtime Security

Vanguard

Senior Manager leading a team on AI runtime security at Vanguard. Defining strategies and operationalizing security controls across AI deployments.

Posted 6/5/2026full-timeNorth Carolina, Pennsylvania, Texas • 🇺🇸 United StatesSeniorWebsite

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Hard Skills
AI runtime protectionoperational AI security controlsAI runtime securitybehavioral attestationrogue agent detectionsecurity engineeringcloud security architecturesAI guardrailsbehavioral monitoringruntime enforcement technologies
Soft Skills
leadershipcommunicationstakeholder managementinfluencecollaboration
Tools & Technologies
AWSAzureGoogle Cloud Platformenterprise monitoringincident response workflows
Industry Keywords
AI systemsendpointscloud platformsSaaS environmentssecurity standardsbest practicesAI-enabled applicationsagentic systems

Tech Stack

Tools & technologies
AWSAzureCloudCyber SecurityGoogle Cloud Platform

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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.

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Professional development opportunities