AI Security Architecture, Vice President

State Street is a global institutional investor service provider focused on risk management, performance, and profitability. The company emphasizes inclusive development opportunities, flexible work-life support, and vibrant employee networks. The role is part of Global Cybersecurity's Fusion & Security Operations that protects State Street and its clients from cyber-attacks with evolving cybersecurity programs.

• Bachelor's degree in Computer Science, Information Security, Engineering, or related field.
• Relevant security or cloud certifications are a plus.
• 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.
• Experience working in or with regulated environments is preferred.
• Strong technical fundamentals in security architecture and secure design.
• Curiosity and willingness to learn in the evolving AI security landscape.
• Ability to break down risks and communicate them clearly to engineers.
• Collaborative and execution-focused mindset.
• Comfortable working with guidance while progressively taking on more responsibility.

• Contribute to designing and implementing secure architecture patterns for AI/ML and Generative AI systems.
• Support the development and documentation of AI security standards and reference architectures.
• Participate in architecture and design reviews for AI initiatives providing security guidance.
• Partner with engineering teams to integrate security requirements early in solution design.
• Perform AI-focused threat modeling for AI services, models, and data flows.
• Identify security risks including data leakage, prompt injection, insecure model access, OSS vulnerabilities, and misuse scenarios.
• Recommend mitigations and compensating controls with senior architects and security partners.
• 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.
• Develop repeatable patterns and templates to enable secure AI adoption.
• Conduct security reviews of emerging AI capabilities including GenAI tools and internal AI services.
• Stay updated on AI security trends and share knowledge internally.
• Ensure AI security designs align with internal policies and external standards such as NIST, ISO, and FFIEC.
• Support audit, risk, and compliance efforts by documenting architecture decisions and controls.
• Participate in post-incident reviews and action tracking for AI-related security events.
• Collaborate with security engineering, product security, platform, and data teams to resolve AI security concerns.
• Communicate technical risks and recommendations clearly to engineering teams.
• Escalate complex or high-risk issues with supporting analysis and options to senior architects.

As an Equal Opportunity Employer, all qualified applicants are considered without regard to various protected characteristics under applicable law.