AVP-Cybersecurity Engineer (AI Security)

Cybersecurity Jobs; Golden (CO); On-site; USD 140,000 - 231,000; Full time

Benefits offered by this job

Medical insurance

Parental leave

401(k)

Job summary

Moody’s Cybersecurity Engineering team seeks a leader to own the multi-year AI security strategy and roadmap for Azure OpenAI and Azure Machine Learning. You will define enterprise AI security policies, control frameworks, and secure architectures across Azure, AWS, or GCP, with collaboration across engineering, legal, and compliance teams.

The role focuses on securing AI systems, governing deployment of model context protocols, and reporting to the CIO and Board on AI security posture and

Qualifications

• Bachelor's degree in CS or InfoSec is required or equivalent.
• Experience with Azure/AWS cloud security and AI security practices.
• Familiarity with governance, risk, and regulatory requirements are a plus.

Responsibilities

• Lead the multi-year AI security strategy and roadmap for Azure AI services.
• Define enterprise AI security policies and control frameworks.
• Architect secure AI/ML environments across cloud platforms.
• Establish security for agentic AI systems and secure deployment protocols.
• Support risk reporting to CIO, execs, and the Board on AI security posture.
• Collaborate with engineering, legal, and compliance teams for secure adoption.

Skills

AI security

Cloud security

Security architecture

Education

Bachelor's degree in Computer Science/Information Security or related field

Tools

Azure Policy

Key Vault

Azure Security Certification

AI Security Certification

Model Context Protocol

Job description

Golden, CO (onsite) | Salary: USD 140,200 - 230,900 per year

Join Moody’s Cybersecurity Engineering team to help safeguard AI and cloud ecosystems with security strategies built for modern adoption. This role focuses on leading the development and execution of AI security strategy, governance, and architecture to protect AI systems across the organization, with a multi-year roadmap for securely leveraging Azure AI services such as Azure OpenAI and Azure Machine Learning.

What you’ll do

• Own and develop the multi-year AI security strategy and roadmap for securely using Azure AI services, including Azure OpenAI and Azure Machine Learning


• Define and enforce enterprise AI security policies and control frameworks, aligned to best practices and regulatory mandates, including the NIST AI Risk Management Framework


• Architect secure AI/ML environments across Azure, AWS, or GCP, including 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


• 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 enable secure adoption of AI technologies


• Drive innovation by challenging existing processes, proposing solutions, and contributing to secure business enablement

What you bring

• 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 track record of proactively reducing vulnerabilities


• Strong analytical and problem-solving skills, including 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 implementing advanced AI solutions for 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

Key technologies

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

Benefits

• Competitive benefits package including medical, dental, vision, parental leave, and paid time off


• 401(k) plan with employee and company contribution opportunities


• Life, disability, and accident insurance


• Discounted employee stock purchase plan
  
• Tuition reimbursement


• Incentive compensation

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. In this role, you will contribute to securing AI adoption across the enterprise, leveraging Microsoft Azure capabilities while ensuring compliance and ethical governance.

Education

Bachelor’s degree in Computer Science, Information Security, or related field.