AI Security Architecture VP: Secure-by-Design Leader

State Street; Berwyn (PA); Hybrid; USD 122,000 - 203,000; Full time

Job summary

State Street is seeking a VP-level AI Security Architect to lead the design and oversight of secure architectures for AI/ML across the enterprise. You will partner with engineering, risk, data teams, and business units to ensure defensible AI adoption, secure by design, and compliant with regulatory expectations.

You will drive threat modeling, develop reference architectures, and embed security controls into DevSecOps pipelines while coaching teams and evolving security practices in a

Qualifications

• Degree required: Bachelor’s degree in Computer Science, Information Security, Engineering, or a related discipline; advanced degree preferred.
• Years of experience: 10+ years of progressive experience in cybersecurity, including significant experience in security architecture, application security, product security, cloud security, or security engineering.
• Certifications required or preferred: CISSP, CCSP, CSSLP, cloud security, architecture, or comparable industry certifications preferred.
• Knowledge of tools or technologies: Cloud-native architectures; AI and ML platforms; generative AI and large language model solutions; APIs; data pipelines; DevSecOps and CI/CD; threat modeling; security testing; IAM; data protection; logging and monitoring; security automation.
• Other qualifications: Experience securing enterprise-scale platforms and applications, in regulated environments, establishing reusable architecture standards, and communicating technical risk to engineering and leadership audiences.

Responsibilities

• Lead the design and implementation of secure architecture patterns for AI, ML, and generative AI systems, including data pipelines, model access, APIs, agents, retrieval-augmented generation, and AI-enabled apps.
• Define and maintain enterprise AI security reference architectures, technical standards, guardrails, reusable patterns, and architecture decision criteria.
• Lead architecture and design reviews for AI initiatives, ensuring security, privacy, resilience, and control requirements are incorporated early in the solution lifecycle.
• Perform AI-focused threat modeling across models, data flows, platforms, integrations, and user interactions, addressing data leakage, prompt injection, insecure model access, supply chain vulnerabilities, model misuse, and excessive agency.
• Translate identified risks into practical security requirements, mitigation strategies, compensating controls, and risk-based architecture decisions.
• Partner with engineering, product security, platform, cloud, application, and data teams to embed AI security controls into software development, DevSecOps, model development, deployment, and monitoring workflows.
• Develop validation criteria and repeatable assurance patterns for AI platforms, pipelines, models, third-party services, and emerging capabilities.
• Provide architecture oversight for generative AI tools, internal AI services, developer productivity solutions, and business-led AI use cases.
• Ensure AI security designs align with internal policies and applicable external standards and regulatory expectations, including NIST, ISO, and FFIEC concepts.
• Support risk, audit, compliance, and incident management activities through clear documentation of architecture decisions, control designs, residual risks, and remediation actions.
• Communicate technical risks, architecture options, and recommendations clearly to engineering teams, business stakeholders, governance forums, and senior leadership.
• Mentor architects and security practitioners, promote internal knowledge sharing, and continuously improve AI security architecture practices as technologies and threats evolve.

Skills

AI Security

Threat Modeling

Architecture Reviews

Cross-functional Leadership

Security Standards

Education

Bachelor's degree in CS/IS/Engineering

Advanced degree preferred

Tools

Cloud-native Platforms

DevSecOps

CI/CD tooling

Job description

State Street is seeking a VP-level AI Security Architect to lead the design and oversight of secure architectures for AI/ML across the enterprise. You will partner with engineering, risk, data teams, and business units to ensure defensible AI adoption, secure by design, and compliant with regulatory expectations.

You will drive threat modeling, develop reference architectures, and embed security controls into DevSecOps pipelines while coaching teams and evolving security practices in a