VP, AI Security Architecture

Jobtailor; Massachusetts; On-site; USD 180,000 - 240,000; Full time

Job summary

Jobtailor is seeking a senior security architect to lead the design and implementation of secure AI architectures across ML and generative AI systems in a regulated enterprise environment.

You will drive threat modeling, risk-based architecture decisions, and governance across cross-functional teams while ensuring alignment with NIST/ISO standards and regulatory expectations. The role requires collaboration with engineering, product security, cloud, data, and risk functions.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Security Architecture

Threat Modeling

Collaboration Across Teams

Communication

Influencing Skills

CISSP Certification

AI Security Risk Patterns

Education

Bachelor's degree in Computer Science, Information Security, Engineering, or related discipline

Tools

DevSecOps

CI/CD

Cloud-Native Platforms

Security Testing

Identity and Access Management

Job description

• 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

Requirements

• 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; DevSecOps 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

Core Competencies

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.

Highest-signal resume keywords

• Security Architecture


• AI Security Risk Patterns


• Threat Modeling


• Collaboration Across Teams


• CISSP Certification

Hard Skills

• Security Architecture


• Application Security


• Cloud Security


• Data Protection


• AI and Machine Learning Architectures


• Secure Design


• Technical Risk Assessments


• Architecture Reviews


• Generative AI


• APIs

Soft Skills

• Collaboration


• Influencing Skills


• Communication

Certifications & Qualifications

• CISSP


• CCSP


• CSSLP

Industry Keywords

• NIST


• ISO


• FFIEC


• Regulated Environments


• Enterprise-Scale Platforms

Tools & Technologies

• Cloud-Native Platforms


• DevSecOps


• CI/CD


• Security Testing


• Identity and Access Management


• Logging


• Monitoring


• Security Automation