State Street
AISecurityArchitectureVP
Neural analysis suggests this role is
optimal for Mid+ candidates.
“AI Security Architecture VP at State Street. Skills: AI Security Architecture, designing secure architecture patterns for AI/ML and Generative AI systems, AI-focused threat modeling, identifying security risks, recommending appropriate mitigations, integration of AI security controls into software development and DevSecOps workflows. designing, implementing, and reviewing security controls for AI, machine learning, and generative AI solutions. Contribute to the design and implementation of secur”
What You'll Achieve.
ensure AI capabilities are delivered securely, responsibly, and in alignment with regulatory requirements; help ensure AI capabilities are delivered securely; help ensure AI capabilities are delivered responsibly; help ensure AI capabilities are delivered in alignment with regulatory requirements; enable teams to adopt AI securely with less friction
Industry & Context.
Ability to break down risks and communicate them clearly to engineers.
What They're Looking For.
Must Have
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., Ability to break down risks and communicate them clearly to engineers.
Nice to Have
Relevant security or cloud certifications are a plus., Experience working in or with regulated environments preferred., Curiosity and willingness to learn in a rapidly evolving AI security landscape., Collaborative, execution-focused mindset., Comfortable working with guidance while progressively taking on more responsibility.
What You'll Do.
and reviewing security controls for AI
and generative AI solutions
Contribute to the design and implementation of secure architecture patterns for AI/ML and Generative AI systems
including data pipelines
and AI-enabled applications.
Support the development and documentation of AI security standards
reference architectures
Participate in architecture and design reviews for AI-related initiatives
providing security guidance under senior architect direction.
Partner with engineering teams to ensure security requirements are considered early in solution design.
Perform AI-focused threat modeling for AI services
Identify security risks such as data leakage
insecure model access
and misuse scenarios.
Work with senior architects and security partners to recommend appropriate mitigations and compensating controls.
Support integration of AI security controls into software development and DevSecOps workflows.
Assist in defining security requirements and validation checks for AI pipelines and platforms.
Help develop repeatable patterns and templates that enable teams to adopt AI securely with less friction.
Assist with security reviews for emerging AI capabilities
including GenAI tools
and developer productivity use cases.
Stay informed on AI security trends
and common risk patterns through research and internal knowledge sharing.
Contribute ideas and observations on improving AI security practices across the organization.
Ensure AI security designs align with internal policies and external standards (e. g.
and compliance efforts by helping document architecture decisions and controls.
Participate in post-incident reviews and action tracking for AI-related security events.
Work closely with security engineering
and data teams to resolve AI security concerns.
Communicate technical risks and recommendations clearly to engineering audiences.
Escalate complex or high-risk issues to senior architects with supporting analysis and options.
How You'll Work.
Team & Collaboration
partners closely with engineering, product security, and platform teams; Partner with engineering teams; Work with senior architects and security partners; Work closely with security engineering, product security, platform, and data teams
Communication Scope
Communicate technical risks and recommendations clearly to engineering audiences.; Escalate complex or high-risk issues to senior architects with supporting analysis and options.; Ability to break down risks and communicate them clearly to engineers.
Full Job Description
**Who we are looking for** The AI Security Architect is a hands-on technical role responsible for designing, implementing, and reviewing security controls for AI, machine learning, and generative AI solutions across State Street’s technology environment. This role partners closely with engineering, product security, and platform teams to help ensure AI capabilities are delivered securely, responsibly, and in alignment with regulatory requirements. This position is ideal for a security professional with strong foundations in application, cloud, or product security who is building deeper expertise in AI security architecture and risk management. **Why this role is important to us** Global Cybersecurity (GCS) protects State Street and its clients from the impact of cyber-attacks against systems by understanding the risks these attacks present and mitigating them through a robust, continuously evolving, cybersecurity program and control environment. Fusion & Security Operations (F&SO) is one of five functions that make up GCS. F&SO works to provide real-time knowledge of cyber threats of today collectively to better prepare State Street for threats of tomorrow. **What you will be responsible for** * Contribute to the design and implementation of secure architecture patterns for AI/ML and Generative AI systems, including data pipelines, model access, and AI-enabled applications. * Support the development and documentation of AI security standards, reference architectures, and guardrails. * Participate in architecture and design reviews for AI-related initiatives, providing security guidance under senior architect direction. * Partner with engineering teams to ensure security requirements are considered early in solution design. * Perform AI-focused threat modeling for AI services, models, and data flows. * Identify security risks such as data leakage, prompt injection, insecure model access, OSS vulnerabilities, and misuse scenarios. * Work with senior architects and sec
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