Enterprise AI Security Architect & Governance Lead

Moog Inc.; Buffalo (NY); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Profit sharing

401k matching

Employee stock purchase plan

Flexible Spending and Health Savings

Job summary

Moog is seeking a Corporate AI Security Architect in Buffalo, NY to lead the cyber security strategy for the enterprise AI program. You will develop and enforce AI security policies, governance, and controls across AI platforms including LLMs and third‑party tools, ensuring compliance with ITAR/EAR and data protection requirements.

In this role, you will drive risk management, coordinate with IT, Legal, Compliance, and leadership, and mentor teams while aligning with Moog's security standards.

Qualifications

• Typically, a master's degree in Information Technology, Cyber Security, Computer Science, or a related field.
• 10+ years of experience in cyber security architecture with at least two (2)+ years focused on AI/ML security
• Demonstrated expertise in AI/ML technologies, including Large Language Models (LLMs), and security, governance, and risk considerations
• Deep understanding of AI security threats including prompt injection, jailbreaking, data poisoning, model inversion, and output exfiltration risks
• Direct experience with ITAR and EAR regulations as they apply to technical data, software, and AI/ML systems
• Experience designing, implementing, and certifying regulated cloud environments including FedRAMP, CMMC Level 2, and/or DoD IL4/IL5 environments
• Strong working knowledge of industry frameworks and standards such as NIST CSF, NIST 800-53, NIST AI RMF, ISO 27001, and similar frameworks
• Experience designing and implementing governance, monitoring, and control frameworks within complex enterprise environments
• Experience with Data Loss Prevention (DLP) and information rights management in cloud and AI-enabled environments
• Experience producing executive-level reporting, metrics, dashboards, and risk communications
• Strong leadership, communication, and influencing skills with the ability to communicate complex technical concepts to executive and non-technical audiences
• Proven ability to manage multiple complex priorities independently while maintaining accountability and quality
• Demonstrated ability to serve as a senior technical leader and trusted advisor within a rapidly evolving technology landscape
• Background in adversarial machine learning and AI red-teaming methodologies preferred
• Experience evaluating third-party AI vendors, supply chain AI risks, and model security controls preferred
• Professional certifications such as CISSP, CISM, CRISC, or AI/security-related certifications preferred

Responsibilities

• Architect and lead the cyber security strategy, governance, and technical direction for Moog's enterprise AI Program
• Develop, implement, and continuously enhance AI security policies, standards, controls, and enforcement strategies
• Serve as the enterprise subject matter expert for AI security governance and provide guidance on the secure and compliant use of AI technologies
• Own and maintain Moog's AI compliance framework, including requirements supporting ITAR and EAR regulations
• Define standards for permissible data inputs, output monitoring, geographic access controls, model access policies, and audit trail requirements
• Evaluate AI platforms and vendors for security posture, data residency, training data practices, certifications, and export control compliance requirements
• Lead AI security certification initiatives and establish the architecture and documentation required to achieve compliance objectives
• Conduct threat modeling activities and security architecture reviews for AI solutions entering production environments
• Participate in investigations involving AI-related security incidents, including prompt injection attempts, unauthorized data access, model misuse, and export control concerns
• Establish governance requirements for controlled technical data, CUI, intellectual property, personnel information, and business data used within AI systems
• Develop AI security awareness content and provide guidance to governance committees, leadership teams, and the broader workforce
• Maintain AI security metrics and deliver regular reporting to executive leadership and oversight committees
• Partner with the CISO, Operating Groups, IT, Legal, Compliance, and other functional teams to integrate AI security requirements into business processes and workflows
• Provide strategic direction for AI threat intelligence, vulnerability management, and incident response capabilities
• Lead enterprise AI risk identification and assessment activities, including model risks, prompt injection, data exposure, and third‑party vendor vulnerabilities
• Support enterprise decision‑making regarding AI tool selection, vendor approvals, and secure technology adoption
• Monitor emerging AI threats, technologies, regulatory developments, and industry trends, translating insights into actionable improvements
• Establish and maintain the strategic roadmap for Cyber Security within AI, ensuring alignment with enterprise priorities and business objectives

Skills

AI/ML security

LLMs

AI risk management

Governance frameworks

Security certifications (CISSP/CISM)

Export control compliance

Cloud security (FedRAMP/CMMC)

Threat modeling

Executive reporting

Leadership

Communication

Education

Master's degree in IT/Cyber Security/CS

Job description

Moog is seeking a Corporate AI Security Architect in Buffalo, NY to lead the cyber security strategy for the enterprise AI program. You will develop and enforce AI security policies, governance, and controls across AI platforms including LLMs and third‑party tools, ensuring compliance with ITAR/EAR and data protection requirements.

In this role, you will drive risk management, coordinate with IT, Legal, Compliance, and leadership, and mentor teams while aligning with Moog's security standards.