Join our Engineering Division as a Vice President within the Tech Risk Advisory team. This role focuses on leading and architecting robust cloud and AI security strategies for enterprise-level cloud deployments. You will be instrumental in evaluating security postures, identifying risks, and developing innovative solutions to protect critical assets across major cloud platforms and advanced AI/ML systems.

This position offers a unique opportunity to influence security engineering practices at a senior level, driving alignment with business objectives and staying ahead of emerging threats in the dynamic cybersecurity landscape.

Conduct comprehensive cloud security assessments for AWS, Azure, and GCP. Architect and implement enterprise-wide cloud security strategies, including baselines and secure design patterns.

Identify and analyze security risks in cloud environments, AI/ML platforms, and applications. Review software architecture for cloud deployments, AI/ML pipelines, and LLM integrations.

Develop and enforce security controls for AI/ML systems, covering model security, data governance, and prompt injection defenses. Collaborate with engineering teams to embed security throughout the SDLC and CI/CD pipelines.

Develop and document security measures to protect data, applications, and infrastructure. Provide senior technical advisory on cloud and AI security to internal stakeholders.

Create and maintain automated security tooling for streamlining processes and compliance checks. Stay updated on emerging threats in cloud, AI/ML, and security engineering domains.

Lead and mentor technical security teams. Contribute to incident response for cloud and AI security events.

A minimum of 12 years of hands-on cybersecurity experience is mandatory, with significant depth in Cloud Security (AWS, Azure, GCP, OCI), Security Engineering, and AI Engineering Security.

Possess broad cross-domain expertise including network security, identity and access management, threat modeling, vulnerability management, incident response, and compliance.

Demonstrate strong development and scripting proficiency (Python, PowerShell, Bash) for automation and tooling. Exhibit deep knowledge of cloud security architecture on at least one major CSP, with AWS being strongly preferred.

Possess technical expertise in application security architecture, including secure-by-design patterns and enterprise AppSec standards. Proven experience securing AI/ML systems and platforms is essential.

Showcase a strong track record of driving security initiatives across large, complex enterprise environments. Experience in highly regulated industries and familiarity with relevant compliance frameworks are preferred, as are advanced security certifications.