Senior Manager, AI Runtime Security

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

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.