Senior Manager, AI Runtime Security

Vanguard

Malvern (Chester County)

Hybrid

USD 180,000 - 240,000

Full time

14 days+

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Job summary

Vanguard seeks a Senior Manager, AI Runtime Security to lead strategy, engineering, and operationalization of runtime protections for enterprise AI systems. You will scale capabilities guarding AI apps and autonomous agents in production, including guardrails, behavioral attestation, and rogue agent detection.

Ideal candidate brings deep cloud security expertise, experience leading enterprise security teams, and a proven track record securing large SaaS environments across AWS, Azure, and/or GCP.

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
  • Collaborate across architecture, cloud, and engineering teams to embed AI security controls into enterprise platforms

Skills

Security leadership
Cloud security
AI security
Stakeholder management
Cross-functional collaboration
Security monitoring
AWS
Azure
GCP

Tools

AWS
Azure
GCP

Job description

We are seeking a Senior Manager, AI Runtime Security to lead the strategy, engineering, and operationalization of runtime protections for enterprise AI systems. This leader will be responsible for building and scaling capabilities that protect AI applications and autonomous agents in production environments, including AI guardrails, behavioral attestation, runtime monitoring, and rogue agent detection. The ideal candidate brings deep expertise in cloud security, modern AI security controls, and operational security engineering, with a strong track record of leading teams that secure large-scale cloud and SaaS environments.

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.

About Vanguard

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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