Senior Manager, AI Runtime Security

Vanguard Group, Inc.

$130K — $180K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 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

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

Benefits

  • Collaborative work environment across architecture, cloud, and engineering teams
  • Opportunity to influence AI security strategies at enterprise scale
  • Engagement in cutting-edge technology and AI security practices
  • Professional growth through leadership opportunities and team building
  • Exposure to cross-functional collaboration with various tech and security teams
Full Job Description
Key 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


Required Qualifications
  • 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

Special Factors

Sponsorship
Vanguard is not offering visa sponsorship for this position.

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