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About the Role

Moog's Corporate Group is seeking a Corporate AI Security Architect to lead the development, implementation, and evolution of cyber security architecture and governance for Moog's enterprise Artificial Intelligence ecosystem. This role serves as the primary subject matter expert for AI security, ensuring the secure, compliant, and standardized use of AI technologies. You will drive enterprise-wide AI security strategy, define standards and controls, establish governance frameworks, and partner with various departments to enable responsible AI adoption while protecting company assets.

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.

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.
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.
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.

Skills

AI/ML security
AI/ML technologies
Large Language Models (LLMs)
AI security threats
Prompt injection
Jailbreaking
Data poisoning
Model inversion
Output exfiltration
ITAR
EAR regulations
Regulated cloud environments
FedRAMP
CMMC Level 2
DoD IL4/IL5
NIST CSF
NIST 800-53
NIST AI Risk Management Framework (AI RMF)
ISO 27001
Data Loss Prevention (DLP)
Information rights management
Executive-level reporting
Metrics
Dashboards
Risk communications
Leadership
Communication
Influencing skills
Adversarial machine learning
AI red-teaming methodologies
Third-party AI vendor evaluation
Supply chain AI risks
Model security controls
CISSP
CISM
CRISC
AI/security-related certifications

Location

Buffalo, NY

Work Type

Hybrid

Experience Level

Ten (10)+ years of experience in cyber security architecture
at least two (2)+ years focused on AI/ML security

Education Level

Master's degree in Information Technology, Cyber Security, Computer Science, or a related field

Salary/Compensations

$150,000.00–$190,000.00 Annually

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”)
Other supplemental benefit coverages
Tuition Assistance
Mentorship and coaching opportunities
Leadership development
Other personal growth programs
Employee Resource Groups
Cultural events, and celebrations

About the Company

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.

Equal Opportunity

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.