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Moog

Designs precision motion control systems

Corporate AI Security Architect

Security Engineering & Architecture +1Confirmed live in the last 24 hours
Full-timeBuffalo, NY, USA

About the Job

Requirements

  • Typically, a master's degree in Information Technology, Cyber Security, Computer Science, or a related field.
  • Ten or more years of experience in cyber security architecture, including at least two or more years focused on AI/ML security.
  • Demonstrated expertise in AI/ML technologies, including Large Language Models, and associated 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 Risk Management Framework, and ISO 27001.
  • Experience designing and implementing governance, monitoring, and control frameworks within complex enterprise environments.
  • Experience with Data Loss Prevention 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, including communicating complex technical concepts to executive and non-technical audiences.
  • 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.
  • Applicants must live local to the Buffalo, NY area or be willing to relocate and must be able to support a hybrid work schedule.
  • The position requires access to data subject to U.S. government citizenship restrictions and U.S. export-controlled information.

Responsibilities

  • Architect and lead the cyber security strategy, governance, and technical direction for the 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 secure and compliant AI use.
  • Own and maintain the 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.
  • Lead AI security certification initiatives and establish the architecture and documentation needed to achieve compliance objectives.
  • Conduct threat modeling 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.

Desired Qualifications

  • Background in adversarial machine learning and AI red-teaming methodologies.
  • Experience evaluating third-party AI vendors, supply chain AI risks, and model security controls.
  • Professional certifications such as CISSP, CISM, CRISC, or AI/security-related certifications.

About the Company

Moog

Designs precision motion control systems

Moog designs and builds precision motion control products for aerospace, defense, industrial, and medical sectors. Its core technology is electro-hydraulic servovalves that translate small electrical signals into precise, powerful motion, enabling flight control and guided missile systems; modern products extend into fiber optics and other motion control components. The company differentiates itself through its long heritage of aerospace-grade, mission-critical components, a large installed base in fighter jets and missiles, and growth via strategic acquisitions (e.g., COTSWORKS) to broaden capabilities. Moog’s goal is to provide reliable, high-performance motion control solutions that support complex aerospace and defense systems and expand across industries worldwide.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Town of Elma, New York
Founded
1951

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