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Employer
About State Street
State Street Corporation is one of the world''s largest custodian banks and asset managers, providing investment servicing, investment management, and investment research to institutional investors. Industry: Financial Services & Asset Custody
State Street currently has
185 open roles
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Listed pay typically runs
$120,000–$202,500
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As the AI Security Architecture- VP, you will join the team reporting to the Managing Director of AI Security and Data Protection to lead the design and oversight of secure architecture patterns for artificial intelligence, machine learning, and generative AI solutions across the enterprise. You will build and maintain reference architectures, technical standards, and guardrails while performing threat modeling to address risks like prompt injection and data leakage. Your daily work involves partnering with engineering, product security, and data teams to embed security controls into DevSecOps workflows and manage risk-based architecture decisions. The role requires expertise in cloud-native platforms, large language models, APIs, and data pipelines. You will ensure all AI initiatives align with NIST, ISO, and FFIEC standards while providing oversight for generative AI tools and internal services within a complex, regulated environment to protect sensitive information.
Design and implement secure architecture patterns for AI, machine learning, and generative AI systems including data pipelines and APIs.
Define and maintain enterprise AI security reference architectures, technical standards, guardrails, and reusable patterns.
Lead architecture and design reviews to ensure security, privacy, and resilience are integrated early in the solution lifecycle.
Perform AI-focused threat modeling to address risks like prompt injection, data leakage, and supply chain vulnerabilities.
Translate identified technical risks into practical security requirements, mitigation strategies, and risk-based architecture decisions.
Embed AI security controls into software development, DevSecOps, model deployment, and monitoring workflows.
Develop validation criteria and repeatable assurance patterns for AI platforms, models, and third-party services.
Ensure all AI security designs align with internal policies and external regulatory standards like NIST and ISO.
What we're looking for
Bachelor's degree in Computer Science, Information Security, Engineering, or a related discipline.
Advanced degree (preferred).
10+ years of progressive experience in cybersecurity, including security architecture, application security, product security, cloud security, or security engineering.
CISSP, CCSP, CSSLP, cloud security, architecture, or comparable industry certifications (preferred).
Expertise in AI/ML architectures, generative AI, data pipelines, APIs, and DevSecOps.
Experience performing threat modeling, technical risk assessments, and secure-by-design programs in complex enterprise environments.
Experience securing enterprise-scale platforms in regulated environments and communicating technical risks to senior leadership.
Ability to coordinate across global teams and manage sensitive information according to company requirements.
AI
Machine Learning
Generative AI
large language model s
Security Architecture
Cloud Security
DevSecOps
CI/CD
Threat Modeling
Data Pipelines
Identity and Access Management
NIST
ISO
FFIEC
Data Protection
Security Automation