Corporate AI Security Architect

Moog Inc.•Buffalo, NY

4d•$150,000 - $190,000•Hybrid

About The Position

Moog is a performance culture that empowers people to achieve great things. Our people enjoy solving interesting technical challenges in a culture where everyone trusts each other to do the right thing. For you, working with us can mean deeper job satisfaction, better rewards, and a great quality of life inside and outside of work. Moog's Corporate Group is looking for a Corporate AI Security Architect to join our Cyber Security Team! As the Corporate AI Security Architect, you will lead the development, implementation, and continuous evolution of cyber security architecture and governance for Moog's enterprise Artificial Intelligence ecosystem. You will serve as the organization's primary subject matter expert for AI security, ensuring the secure, compliant, and standardized use of AI technologies, including internally authorized Large Language Models (LLMs) and third-party platforms such as Microsoft Copilot. In this role, you will drive enterprise-wide AI security strategy, define cyber security standards and controls, establish governance frameworks, and partner with Operating Groups, IT, Legal, Compliance, and Executive Leadership. You will play a critical role in enabling responsible AI adoption while protecting Moog's intellectual property, export-controlled data, and critical business information from emerging AI-related risks. Applicants must live local to the Buffalo, NY area, be willing to relocate, and be able to support a hybrid work schedule (3 days in office) at Moog's East Aurora headquarters. This position requires access to data subject to U.S. government citizenship restrictions.

Requirements

Typically, a master's degree in Information Technology, Cyber Security, Computer Science, or a related field
Ten (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 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 (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
This position requires access to data subject to U.S. government citizenship restrictions.

Nice To Haves

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

Benefits

great compensation package
annual profit sharing
matching 401k
Employee Stock Purchase Plan
Flexible Spending and Health Savings Accounts
Flexible paid time off
holidays
parental leave program
Comprehensive insurance coverage including medical, dental, vision, life, disability, Employee Assistance Plan (“EAP”) and other supplemental benefit coverages.
Tuition Assistance
mentorship and coaching opportunities
leadership development and other personal growth programs
Employee Resource Groups
cultural events, and celebrations.