Lead AI Security Engineer (Cloud & AI)

Moody's Investors Service; Charlotte (NC); On-site; USD 140,000 - 231,000; Full time

Job summary

Moody's Investors Service is seeking a senior Cybersecurity Engineer focused on AI security and cloud security. You will lead the AI security strategy, governance, and architecture across Azure and other cloud environments, defining policies, controls, and secure deployment practices while mentoring teams and coordinating with legal and compliance across the enterprise.

The role emphasizes ethical governance of AI, risk reporting to senior leadership, and collaboration with a diverse set of

Qualifications

• Min 5–7 years in cybersecurity engineering with AI and cloud security.
• Expert in Azure/AWS cloud architecture and AI security principles.
• Proven ability to reduce vulnerabilities via proactive controls.
• Experience mentoring teams on AI security best practices.
• Certifications in Azure Security and AI Security preferred.

Responsibilities

• This role leads the development and execution of AI security strategy, governance, and architecture.
• Develop and own the multi-year AI security strategy and roadmap for Azure AI services.
• Define and enforce enterprise AI security policies and control frameworks.
• Architect secure AI/ML environments in Azure, AWS, or GCP with IAM controls.
• Establish security frameworks for Agentic AI systems and secure deployment of servers.
• Support risk reporting to CIO, exec leadership, and the Board.
• Collaborate with engineering, legal, and compliance to embed security.

Skills

AI security

Cloud security

Azure/AWS architecture

Security controls design

Incident handling

Mentoring teams

AI risk governance

Ethical AI governance

Education

Bachelor's degree in CS/InfoSec

Azure AI Security certification

Tools

Azure Policy

Key Vault

AWS IAM tools

Job description

Moody's Investors Service is seeking a senior Cybersecurity Engineer focused on AI security and cloud security. You will lead the AI security strategy, governance, and architecture across Azure and other cloud environments, defining policies, controls, and secure deployment practices while mentoring teams and coordinating with legal and compliance across the enterprise.

The role emphasizes ethical governance of AI, risk reporting to senior leadership, and collaboration with a diverse set of