Leads the design, implementation, and evaluation of security controls for AI systems across AWS and corporate environments. Researches AI threats and vulnerabilities, develops security architecture and standards, supports AI governance, monitors systems, and participates in AI R&D initiatives. Provides technical guidance to engineering, product, IT, risk, and cyber defense teams while advancing AI-enabled security operations and risk management. The role also requires secure SDLC, DevSecOps, threat modeling, vulnerability management, cloud security, and automation expertise.

Own DevSecOps and security automation across CI/CD pipelines, AWS, Kubernetes, Terraform, and software supply chains. Build secure golden paths, vulnerability management, secrets management, policy enforcement, and automated remediation. Partner with Security, SRE, Developer Experience, and Engineering teams to improve cloud security, reduce developer friction, implement AI-assisted security reviews, and measure remediation outcomes. Drive secure development practices through documentation, education, and cross-functional influence.