Corporate AI Security Architect

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.

Corporate AI Security Architect

Officer, Chief Info Security

Hybrid – Buffalo, NY

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 standardised use of AI technologies, including internally authorised 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.

• 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, jail breaking, 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
• 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

• 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…