VP for AI Security Architecture — Secure by Design Leader

State Street; Kilkenny; Hybrid; EUR 107,000 - 194,000; Full time

Job summary

State Street seeks an experienced Vice President of AI Security Architecture to define enterprise security for AI/ML and generative AI. You will lead architecture decisions with engineers, risk, compliance, and product teams to enable secure, compliant, scalable AI capabilities.

You will establish guardrails, standards, and threat models, ensuring security by design across data pipelines, models, APIs, and deployments in a regulated environment.

Qualifications

• Degree required: Bachelor’s degree in Computer Science, Information Security, Engineering, or related discipline; advanced degree preferred.
• 10+ years of cybersecurity experience including security architecture, cloud security, or security engineering.
• Certifications such as CISSP, CCSP, CSSLP or similar preferred.
• Knowledge of cloud-native architectures, AI/ML platforms, APIs, data pipelines, DevSecOps, threat modeling.

Responsibilities

• Provide senior technical leadership for enterprise AI security architecture strategy, roadmap and target-state design.
• Lead secure architecture patterns for AI systems including data pipelines and model access.
• Govern enterprise AI security reference architectures, guardrails and decision criteria.
• Review architecture for high-risk AI initiatives ensuring security, privacy and resilience.
• Lead AI threat modeling across models, data flows and platforms.
• Translate AI threats into practical security requirements and controls.
• Partner with Engineering, Product Security, Platform, Data, Risk, Compliance and Audit to align AI security priorities.
• Embed AI security controls into DevSecOps and software development workflows.
• Establish assurance criteria for AI platforms, pipelines and third-party services.

Job description

State Street seeks an experienced Vice President of AI Security Architecture to define enterprise security for AI/ML and generative AI. You will lead architecture decisions with engineers, risk, compliance, and product teams to enable secure, compliant, scalable AI capabilities.

You will establish guardrails, standards, and threat models, ensuring security by design across data pipelines, models, APIs, and deployments in a regulated environment.