AI Security Architecture, VP

Who we are looking for

We are looking for an experienced Vice President, AI Security Architecture reporting directly to the Managing Director, AI Security and Data Protection. You will serve as a senior technical leader responsible for defining enterprise security architecture strategy, patterns, standards, and guardrails for artificial intelligence, machine learning, and generative AI solutions. You will lead complex architecture decisions and partner with engineering, platform, product security, data, risk, and business leaders to enable AI capabilities that are secure by design, responsibly implemented, scalable, and aligned with internal control and regulatory expectations.

Why This Role is Important To Us

Global Cybersecurity protects State Street and its clients from the impact of cyber attacks by understanding cyber risk and mitigating it through a robust, continuously evolving cybersecurity program and control environment. Fusion & Security Operations provides real-time knowledge of current cyber threats to better prepare State Street for future threats. This senior Vice President role is critical to shaping the enterprise approach to AI security, influencing strategic technology decisions, and ensuring emerging AI capabilities are introduced with appropriate security, data protection, resilience, and governance controls. The role will establish scalable architecture practices that support innovation while protecting client trust and strengthening regulatory readiness.

What You Will Be Responsible For

In this role, you will:

· Provide senior technical leadership for the enterprise AI security architecture strategy, roadmap, and target-state design across artificial intelligence, machine learning, and generative AI capabilities.

· Lead the design and implementation of secure architecture patterns for AI systems, including data pipelines, model access, APIs, agents, retrieval-augmented generation, orchestration layers, and AI-enabled applications.

· Define, govern, and continuously mature enterprise AI security reference architectures, technical standards, guardrails, reusable patterns, architecture decision criteria, and exception processes.

· Serve as a senior authority for architecture and design reviews of complex or high-risk AI initiatives, ensuring security, privacy, resilience, and control requirements are incorporated early in the solution lifecycle.

· Lead AI-focused threat modeling across models, data flows, platforms, integrations, and user interactions, addressing risks such as data leakage, prompt injection, insecure model access, supply chain vulnerabilities, model misuse, and excessive agency.

· Translate emerging AI threats and regulatory expectations into practical security requirements, control designs, mitigation strategies, compensating controls, and risk-based architecture decisions.

· Partner with senior leaders across Engineering, Product Security, Platform, Cloud, Application, Data, Risk, Compliance, and Audit to align AI security priorities and resolve complex design or risk issues.

· Embed AI security controls into software development, DevSecOps, model development, deployment, validation, monitoring, and incident response workflows.

· Establish repeatable assurance and validation criteria for AI platforms, pipelines, models, third-party services, developer tools, and business-led AI use cases.

· Provide architecture oversight for generative AI tools, internal AI services, developer productivity solutions, and strategic enterprise AI programs.

· Advise governance forums and senior leadership on technical risk, architecture options, residual exposure, investment priorities, and recommended decisions.

· Support risk, audit, compliance, and incident management activities through clear documentation of architecture decisions, control designs, residual risks, remediation actions, and evidence.

· Mentor architects and security practitioners, build organizational capability, promote knowledge sharing, and continuously improve AI security architecture practices as technologies and threats evolve.

What We Value

These skills will help you succeed in this role:

· Extensive technical leadership experience across security architecture, secure design, application security, cloud security, product security, data protection, and modern engineering practices.

· Deep practical understanding of AI and machine learning architectures, generative AI, large language models, model and data pipelines, APIs, cloud-native platforms, and AI security risk patterns.

· Demonstrated ability to set architecture direction, lead complex cross-functional decisions, and translate emerging risks into scalable requirements, control designs, implementation patterns, and executive recommendations.

· Significant experience leading architecture reviews, threat modeling, technical risk assessments, and secure-by-design programs in large, complex, regulated enterprises.

· Strong executive communication, collaboration, and influencing skills across Security, Engineering, Technology, Data, Risk, Compliance, Audit, and business leadership.

· Proven ability to mentor senior practitioners, establish architecture governance, and drive adoption of enterprise standards across global teams.

· Execution-focused leadership, sound judgment, strong problem-solving skills, and a commitment to measurable risk reduction and sustainable control outcomes.

· Curiosity, adaptability, and continuous learning in a rapidly evolving AI security landscape.

Education & Preferred Qualifications

Degree required: Bachelor’s degree in Computer Science, Information Security, Engineering, or a related discipline; advanced degree preferred.

Years of experience: 10+ years of progressive experience in cybersecurity, including significant experience in security architecture, application security, product security, cloud security, or security engineering.

Certifications required or preferred: CISSP, CCSP, CSSLP, cloud security, architecture, or comparable industry certifications preferred.

Knowledge of tools or technologies: Cloud-native architectures; AI and machine learning platforms; generative AI and large language model solutions; APIs; data pipelines; DevSecOps and CI/CD; threat modeling; security testing; identity and access management; data protection; logging, monitoring, and security automation.

Additional language requirements: N/A.

Other qualifications: Experience securing enterprise-scale platforms and applications, working in regulated environments, establishing reusable architecture standards, and communicating technical risk to engineering and senior leadership audiences.

Additional Requirements

Additional requirements for this role include the ability to coordinate across global teams and time zones, support high-priority architecture, risk, audit, and incident activities as needed, and manage sensitive information in accordance with company requirements. Travel may be required based on business needs.

Work Requirement

Hybrid Work Requirement: Hybrid, subject to company and location-specific requirements.

Shift Timings: Standard business hours with flexibility to support global stakeholders and critical security, architecture, or regulatory needs.

Salary Range:

$120,000 - $217,500 Annual

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compen