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 FactorsSponsorshipVanguard is not offering visa sponsorship for this position.
About VanguardAt 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 WorkVanguard 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.
