VP, AI Security Architecture

• Lead the design and implementation of secure architecture patterns for AI, machine learning, and generative AI systems
• Define and maintain enterprise AI security reference architectures, technical standards, guardrails, reusable patterns, and architecture decision criteria
• Lead architecture and design reviews for AI initiatives
• Perform AI-focused threat modeling across models, data flows, platforms, integrations, and user interactions
• Translate identified risks into security requirements, mitigation strategies, compensating controls, and risk-based architecture decisions
• Partner with engineering, product security, platform, cloud, application, and data teams to embed AI security controls into development and operations workflows
• Develop validation criteria and repeatable assurance patterns for AI platforms, pipelines, models, third-party services, and emerging capabilities
• Provide architecture oversight for generative AI tools, internal AI services, developer productivity solutions, and business-led AI use cases
• Ensure AI security designs align with internal policies and applicable external standards and regulatory expectations, including NIST, ISO, and FFIEC concepts
• Support risk, audit, compliance, and incident management activities through documentation of architecture decisions, control designs, residual risks, and remediation actions
• Communicate technical risks, architecture options, and recommendations to engineering teams, business stakeholders, governance forums, and senior leadership
• Mentor architects and security practitioners and promote internal knowledge sharing
• Continuously improve AI security architecture practices as technologies and threats evolve

• Bachelor's degree in Computer Science, Information Security, Engineering, or a related discipline
• 10+ years of progressive experience in cybersecurity
• Significant experience in security architecture, application security, product security, cloud security, or security engineering
• Deep technical expertise in security architecture, secure design, application security, cloud security, product security, data protection, and modern engineering practices
• Practical understanding of AI and machine learning architectures, generative AI, model and data pipelines, APIs, cloud-native platforms, and AI security risk patterns
• Experience leading architecture reviews, threat modeling, technical risk assessments, and secure-by-design programs in complex enterprise environments
• Strong collaboration and influencing skills across Security, Engineering, Technology, Data, Risk, Compliance, Audit, and business teams
• Experience securing enterprise-scale platforms and applications
• Experience working in regulated environments
• Experience establishing reusable architecture standards
• Ability to communicate technical risk to engineering and senior leadership audiences
• Ability to coordinate across global teams and time zones
• Ability to manage sensitive information in accordance with company requirements
• CISSP, CCSP, CSSLP, cloud security, architecture, or comparable industry certifications preferred
• Knowledge of cloud-native architectures; AI and machine learning platforms; generative AI and large language model solutions; APIs; data pipelines;
  Dev Sec Ops  and CI/CD; threat modeling; security testing; identity and access management; data protection; logging, monitoring, and security automation
• Standard business hours availability with flexibility to support global stakeholders and critical security, architecture, or regulatory needs
• Travel may be required based on business needs

Demonstrates expertise in designing and implementing secure architecture patterns for AI and machine learning systems, with a strong focus on risk assessment, compliance, and collaboration across diverse teams. Proficient in establishing enterprise AI security standards and ensuring alignment with regulatory requirements.

• Security Architecture
• AI Security Risk Patterns
• Threat Modeling
• Collaboration Across Teams
• CISSP Certification

• Security Architecture
• Application Security
• Cloud Security
• Data Protection
• AI and Machine Learning Architectures
• Secure Design
• Technical Risk Assessments
• Architecture Reviews
• Generative AI
• APIs

• Collaboration
• Influencing Skills
• Communication

• CISSP
• CCSP
• CSSLP

• NIST
• ISO
• FFIEC
• Regulated Environments
• Enterprise-Scale Platforms

• Cloud-Native Platforms
• Dev Sec Ops
• CI/CD
• Security Testing
• Identity and Access…