Senior AI Security Engineer for Cloud & Risk Governance

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

Benefits offered by this job

Medical

Dental

Vision

401(k) plan

Paid time off

Tuition reimbursement

Stock purchase plan

Parental leave

Life insurance

Disability insurance

Accident insurance

Job summary

Moody's Corporation is seeking a cybersecurity engineering leader focused on AI security and cloud security across Azure, AWS, and GCP. You will define policy, architecture, and governance for secure AI deployments, guiding risk management at the enterprise level.

You will mentor teams, drive secure adoption of AI technologies, and collaborate with legal and compliance to meet evolving regulations. This role offers a strong impact on enterprise security and innovation.

Qualifications

• 5–7 years of cybersecurity engineering experience focusing on AI and cloud security.
• Deep understanding of Azure or AWS cloud architecture and AI security principles.
• Experience designing security controls for AI/ML systems and cloud environments with demonstrated vulnerability reduction.

Responsibilities

• Develop and own multi-year AI security strategy and roadmap for securely leveraging Azure AI services.
• Define and enforce enterprise AI security policies and control frameworks with regulatory mandates.
• Architect secure AI/ML environments in Azure, AWS, or GCP with data segmentation and IAM controls.
• Establish security frameworks for Agentic AI systems and Model Context Protocol servers.
• Support risk reporting to CIO, executives, and Board on AI security posture and compliance.
• Collaborate with engineering, legal, and compliance teams to embed security early.
• Drive innovation by challenging processes and enabling secure business growth.

Skills

AI security

Cloud security

Azure/AWS

Incident response

Team mentoring

AI governance

Regulatory governance

Education

BS in CS/InfoSec

Azure AI Security cert

Job description

Moody's Corporation is seeking a cybersecurity engineering leader focused on AI security and cloud security across Azure, AWS, and GCP. You will define policy, architecture, and governance for secure AI deployments, guiding risk management at the enterprise level.

You will mentor teams, drive secure adoption of AI technologies, and collaborate with legal and compliance to meet evolving regulations. This role offers a strong impact on enterprise security and innovation.