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.