AI Security Architecture VP-3

State Street

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Quincy, MABerwyn, PAPrinceton, NJClifton, NJAustin, TX
Employment
Full-time
Posted
68 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $188k
$132k $247k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $148,831–$226,300.

Based on 240 similar postings.

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 351 open roles on FindRole.

Listed pay typically runs $115,000–$195,944 across 199 roles with salary data.

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At a glance

TL;DR · AI Security Architecture VP-3

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The AI Security Architecture VP-3 joins the Fusion & Security Operations team to design, implement, and review security controls for AI, machine learning, and generative AI solutions. This hands-on technical role involves developing secure architecture patterns for data pipelines, model access, and AI-enabled applications while establishing security standards and guardrails. You will perform AI-focused threat modeling to identify risks like prompt injection, data leakage, and insecure model access. Key responsibilities include partnering with engineering teams to integrate security into DevSecOps workflows and providing guidance on emerging capabilities. The role requires expertise in application, cloud, or product security, along with knowledge of secure software development practices. You will ensure designs align with NIST, ISO, and FFIEC concepts to mitigate risks within a regulated enterprise environment.

Skills

AI Security Machine Learning Generative AI Cloud Security DevSecOps Threat Modeling Application Security Data Pipelines NIST ISO FFIEC Secure Software Development Product Security Cloud-native Applications

What you'll do

  • Design and implement secure architecture patterns for AI/ML data pipelines, model access, and applications.
  • Perform AI-focused threat modeling to identify risks like data leakage, prompt injection, and insecure model access.
  • Develop and document AI security standards, reference architectures, and guardrails.
  • Integrate AI security controls into software development and DevSecOps workflows.
  • Conduct security reviews for emerging AI capabilities, including GenAI tools and internal AI services.
  • Define security requirements and validation checks for AI pipelines and platforms.
  • Document architecture decisions and controls to support audit, risk, and compliance efforts.

What we're looking for

  • Bachelor’s degree in Computer Science, Information Security, Engineering, or a related field.
  • 5–7 years of experience in application security, product security, cloud security, or security engineering roles.
  • Experience securing cloud-native applications or platforms in an enterprise environment.
  • Exposure to AI/ML or data-driven systems, including model usage, APIs, or analytics platforms.
  • Familiarity with secure software development practices and DevSecOps concepts.
  • Solid technical fundamentals in security architecture and secure design.
  • Relevant security or cloud certifications (preferred).
  • Experience working in or with regulated environments (preferred).

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