AI Security Architecture VP

State Street

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Quincy, MABerwyn, PAPrinceton, NJClifton, NJAustin, TX
Salary
$120,000–$202,500 / yr
Posted
22 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $185k
This role $161k
$107k most similar roles pay here $238k

This role pays less than 69% of similar roles. Most pay $151,106–$219,212 — the shaded band above. At the midpoint, this role pays about $161k versus about $185k for comparable roles.

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 176 open roles on FindRole.

Listed pay typically runs $120,000–$202,500 across 172 roles with salary data.

Most-posted roles

View all roles at State Street

At a glance

TL;DR · AI Security Architecture VP

Role Posting Log in to save

The AI Security Architecture VP-3 joins the Fusion & Security Operations team to design, implement, and review security controls for machine learning and generative AI solutions across the enterprise technology environment. This hands-on role involves creating secure architecture patterns for data pipelines, model access, and AI-enabled applications while developing security standards, reference architectures, and guardrails. The professional will perform threat modeling to identify risks like prompt injection, data leakage, and insecure model access while integrating security controls into DevSecOps workflows. Key technical requirements include experience in application, cloud, or product security, as well as familiarity with cloud-native platforms, APIs, and analytics tools. The role addresses the challenge of ensuring AI capabilities are delivered responsibly and securely within a regulated environment by aligning designs with NIST, ISO, and FFIEC standards to mitigate risks from emerging technologies.

Skills

AI Security Machine Learning Generative AI Cloud Security DevSecOps Threat Modeling Application Security Data Pipelines NIST ISO FFIEC

What you'll do

  • Design and implement secure architecture patterns for AI/ML data pipelines, model access, and applications.
  • Develop and document AI security standards, reference architectures, and protective guardrails.
  • Perform threat modeling specifically for AI services, models, and associated data flows.
  • Identify risks such as prompt injection, data leakage, and insecure model access.
  • Integrate AI security controls into software development and DevSecOps workflows.
  • Conduct security reviews for emerging GenAI tools and internal developer productivity use cases.
  • Recommend technical mitigations and compensating controls to address identified AI security risks.
  • Ensure all AI security designs align with internal policies and external regulatory standards.

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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