Corporate AI Security Engineer

About the role

Moog is seeking a Corporate AI Security Engineer to lead its enterprise AI Assurance and Monitoring Program. This hybrid position in Buffalo, NY, will ensure the secure, compliant, and responsible use of AI technologies across the organization.

Key responsibilities

• Design, implement, and continuously improve AI security governance, monitoring, and assurance processes.
• Collaborate with Cyber Security, IT, Legal, Compliance, and business units to establish AI usage policies and risk mitigation strategies.
• Monitor internal Large Language Models (LLMs) and third‑party AI platforms such as Microsoft Copilot for compliance with corporate and regulatory standards.
• Conduct audits, generate reports, and provide guidance on AI risk, data protection, and vendor management.
• Educate stakeholders on AI security best practices and support AI adoption initiatives.

Required profile

• Bachelor’s degree in Information Technology, Cyber Security, Computer Science or related field; Master’s preferred.
• 3‑5 years of experience in Cyber Security, GRC, or Information Security Governance.
• Demonstrated knowledge of AI/ML technologies, especially LLMs, and associated security risks.
• Experience working with security frameworks and standards.

Required skills

• NIST Cybersecurity Framework (CSF) and NIST 800‑53
• NIST AI Risk Management Framework (AI RMF)
• ISO 27001
• Data classification, Data Loss Prevention (DLP) and privacy regulations
• Microsoft Copilot, Azure OpenAI and SaaS‑based AI solutions
• Third‑party vendor risk management for AI technologies

What we offer

• Hybrid work schedule (3 days onsite)
• Opportunity to shape AI security strategy at a leading technology company
• Collaborative culture focused on trust and innovation