VP, Secure AI Architecture & Governance

STATE STREET CORPORATION; Quincy (MA); Hybrid; USD 120,000 - 203,000; Full time

Benefits offered by this job

401K with company match

Health Insurance

Paid time off

Employee Assistance Program

Job summary

STATE STREET CORPORATION seeks a VP of AI Security Architecture to lead secure design across AI/ML platforms and generative AI systems. You will define reference architectures, guardrails, and criteria for secure AI adoption while coordinating with engineering, risk, and data teams.

The role emphasizes threat modeling, risk-based decisions, and governance aligned with regulatory expectations. Hybrid work, with extensive collaboration across global teams, is expected.

Qualifications

• Degree in Computer Science, Information Security, Engineering or related field; advanced degree preferred.
• 10+ years in cybersecurity, including security architecture, application security, cloud security or security engineering.
• Relevant certifications like CISSP, CCSP, CSSLP preferred.

Responsibilities

• Lead design and implementation of secure architecture patterns for AI/ML and generative AI systems.
• Define enterprise AI security reference architectures, standards, guardrails, and criteria.
• Perform AI-focused threat modeling across models, data flows, and platforms.
• Translate risks into concrete security requirements and mitigations.
• Partner with engineering and data teams to embed AI security controls in SDLC and DevSecOps.

Skills

AI security architecture

Threat modeling

Cloud security

Secure-by-design

Stakeholder collaboration

Leadership

Education

Bachelors degree in Computer Science, Information Security, Engineering

Tools

CI/CD tooling

Cloud platforms

Threat modeling tools

Job description

STATE STREET CORPORATION seeks a VP of AI Security Architecture to lead secure design across AI/ML platforms and generative AI systems. You will define reference architectures, guardrails, and criteria for secure AI adoption while coordinating with engineering, risk, and data teams.

The role emphasizes threat modeling, risk-based decisions, and governance aligned with regulatory expectations. Hybrid work, with extensive collaboration across global teams, is expected.