Job description

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. Job Title : Corporate AI Security Architect Reporting To: Officer, Chief Info Security Work Schedule: 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 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. To qualify for the Corporate AI Security Architect role, here is what we would expect you to bring to Moog… 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 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 As the Corporate AI Security Architect, you will… 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 How We Care for You: Financial Rewards: great compensation package, annual profit sharing, matching 401k, and the ability to participate in Employee Stock Purchase Plan, Flexible Spending and Health Savings Accounts Work/Life Balance: Flexible paid time off, holidays and parental leave program. Health & Welfare: Comprehensive insurance coverage including medical, dental, vision, life, disability, Employee Assistance Plan (“EAP”) and other supplemental benefit coverages. Professional Skills Development: Tuition Assistance, mentorship and coaching opportunities, leadership development and other personal growth programs Diverse and Inclusive Workplace: Employee Resource Groups, cultural events, and celebrations. Salary Range Transparency: Buffalo, NY $150,000.00–$190,000.00 Annually Salary Range Disclaimer The base salary range represents the low and high end of the Moog salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Moog s total compensation package for employees. Other rewards may include annual bonuses, employee stock purchase plan, an open paid time off policy, and many region-specific benefits. This position requires access to U.S. export-controlled information. EOE/AA Minority/Female/Sexual Orientation/Gender Identity/Disability/Veteran Moog offers an exclusive workplace, and, as such, affirms the right of every person to participate in all aspects of employment based on merit without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, age, veteran status, disability, genetic information, or any other protected characteristic. If you are interested in applying for employment and need special assistance or an accommodation to apply for a posted position, contact our Human Resources department via phone at 844-367-5787. No unsolicited agency submittals please. Agency partners must be invited to participate in a search by our Talent Acquisition Team and have signed terms in place prior to any submittal. Absent compliance with these pre-conditions resumes submitted directly to any Moog Inc. employee or affiliate will not qualify for fee payment, and therefore become the property of Moog Inc.

Requirements

Must-haves

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!
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.
To qualify for the Corporate AI Security Architect role, here is what we would expect you to bring to Moog…
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
As the Corporate AI Security Architect, you will…
Architect and lead the cyber security strategy, governance, and technical direction for Moog s enterprise AI Program

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

Application prep

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Keywords to mirror

aimlmachine learning

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Paid Time Off

Parental Leave