AVP-Cybersecurity Engineer (AI Security)

PassFort; Charlotte (NC); On-site; USD 140,000 - 231,000; Full time

Job summary

Moody's is seeking a cybersecurity engineer focused on AI security to lead strategy and governance for secure AI deployments across Azure, AWS, and GCP. You will define policies, architect secure AI/ML environments, and report on risk posture to executives.

Collaboration with legal, compliance, and engineering teams is essential to advance responsible AI adoption. This role emphasizes AI risk management, securing Azure OpenAI and ML services, and establishing frameworks for Agentic AI, with

Qualifications

• 5–7 years in cybersecurity with AI and cloud security
• Azure or AWS cloud architecture and AI security principles
• Proven ability to reduce vulnerabilities via proactive controls in AI/ML
• Strong analytic skills to resolve incidents within SLA and lead risk assessments
• Mentor teams in AI security best practices
• Certifications in Azure Security and AI Security desired
• Experience leading AI adoption with governance and responsible AI

Responsibilities

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

Skills

AI security

Cloud security

Azure

AWS

GCP

Incident response

Mentoring

AI governance

Education

Bachelor's in CS/InfoSec

Azure AI Security certs

Tools

Azure Policy

Key Vault

Azure OpenAI

Azure ML

AWS IAM

Job description

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are— with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Skills And Competencies

• 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 in designing and implementing security controls for AI/ML systems and Azure or AWS environments, with proven ability to reduce vulnerabilities through proactive control implementation
• Strong analytical and problem-solving skills evidenced 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, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization

Education

• Bachelor's degree in Computer Science, Information Security, or related field
• Relevant certifications in Azure Security and AI Security strongly desired

Responsibilities

This role leads the development and execution of AI security strategy, governance, and architecture to protect AI systems across the organization.

• Develop and own the 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 NIST AI Risk Management Framework
• Architect secure AI/ML environments in Azure, AWS, or GCP, including data segmentation, network controls, and identity and access management using tools like Azure Policy and Key Vault
• Establish security frameworks for Agentic AI systems and ensure secure deployment of Model Context Protocol servers
• Support 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 teams to embed security early and ensure secure adoption of AI technologies
• Drive innovation by challenging existing processes, proposing solutions, and contributing to secure business enablement

About The Team

Our Cybersecurity Engineering team is responsible for safeguarding Moody's AI and cloud ecosystems by implementing cutting-edge security strategies and frameworks. By joining our team, you will contribute to securing AI adoption across the enterprise, leveraging Microsoft Azure's advanced capabilities while ensuring compliance and ethical governance. This is an exciting opportunity to lead innovation in AI security and shape the future of secure AI-driven transformation.

For US-based roles only: the anticipated hiring base salary range for this position is $140,200.00 - $230,900.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email [e-mail]. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.