About the role

What you’ll do

• Assess the organization's security landscape and strengthen security controls across cloud and on-premises environments
• Lead efforts to secure AI platforms, applications, and agentic ecosystems
• Perform monitoring, threat assessment, architecture reviews, and adversarial testing
• Secure authentication, authorization, and trust models across enterprise and AI environments
• Develop automation to validate security controls, detect configuration drift, and improve AI security visibility
• Assess third-party AI vendors and SaaS tools for data handling and security risk

What you’ll need

• Progressive experience in security engineering, security architecture, cloud security, application security, or identity/security platform engineering in enterprise cybersecurity roles
• Hands-on experience securing AI/ML systems, AI-enabled applications, and agentic ecosystems, including AI governance, agent frameworks, RAG architectures, and LLM integrations
• Demonstrated experience securing authentication, authorization, and trust models across complex enterprise and AI environments, including OAuth/OIDC, workload identities, and delegated access
• Knowledge of AI-specific attack vectors such as prompt injection, jailbreaking, model/data exfiltration, data poisoning, and insecure output handling in LLM-integrated systems
• Experience assessing risks of AI-assisted development and product-line AI implementation across the software lifecycle
• Bachelor's degree in computer science, Information Security, Engineering, or equivalent combination of education and relevant experience; relevant security certifications are a plus

Original job description