AVP-Cybersecurity Engineer (AI Security)

Moody’s is building security for the way organizations use AI today, and the Cybersecurity Engineering team plays a central role in safeguarding AI and cloud ecosystems. This onsite role in Charlotte, NC supports secure, compliant adoption of AI technologies by pairing an AI-focused security roadmap with practical governance and architecture across the enterprise.

Salary: USD 140,200 - 230,900 per year. Compensation: Incentive compensation eligibility.

Responsibilities

• Develop and own a multi-year AI security strategy and roadmap for securely leveraging Azure AI services, including Azure OpenAI and Azure Machine Learning
• Define and enforce enterprise AI security policies and control frameworks aligned with best practices and regulatory mandates, including the NIST AI Risk Management Framework
• Architect secure AI and ML environments in Azure, AWS, or GCP, covering data segmentation, network controls, and identity and access management using tools such as Azure Policy and Key Vault
• Establish security frameworks for Agentic AI systems, including secure deployment of Model Context Protocol servers
• Provide risk reporting to the Chief Information Security Officer, executive leadership, and the Board on AI security posture and compliance with emerging regulations
• Collaborate with engineering, legal, and compliance to embed security early and enable secure adoption of AI technologies
• Drive innovation by challenging existing processes, proposing solutions, and contributing to secure business enablement

Requirements

• 5–7 years of experience in cybersecurity engineering, with a focus on AI and cloud security
• Deep understanding of Azure or AWS cloud architecture and AI security principles
• Expertise designing and implementing security controls for AI/ML systems and Azure or AWS environments, with a proven ability to reduce vulnerabilities through proactive control implementation
• Strong analytical and problem-solving skills demonstrated by resolving complex security incidents within SLA and leading cross-functional risk assessments
• Ability to mentor teams across the organization in AI security best practices
• Relevant certifications in Azure Security and AI Security strongly desired
• Deep expertise in artificial intelligence, including a track record of implementing advanced AI solutions and leading innovation initiatives using AI tools, with demonstrated leadership in managing AI-related risks and ensuring ethical governance and responsible AI adoption
• Bachelor’s degree in Computer Science, Information Security, or related field

Benefits

• Incentive compensation eligibility
• Medical, dental, vision
• Parental leave
• Paid time off
• 401(k) plan with employee and company contribution opportunities
• Life, disability, and accident insurance
• Discounted employee stock purchase plan
• Tuition reimbursement

Technologies

• Azure, AWS, GCP
• Azure OpenAI, Azure Machine Learning
• Azure Policy, Key Vault
• NIST AI Risk Management Framework
• Model Context Protocol

About the Team

The Cybersecurity Engineering team is responsible for safeguarding Moody’s AI and cloud ecosystems by implementing cutting-edge security strategies and frameworks. By joining the team, you will help secure enterprise AI adoption using Microsoft Azure capabilities while ensuring compliance and ethical governance, with the opportunity to lead innovation in AI security and shape secure AI-driven transformation.