AVP-Cybersecurity Engineer (AI Security)

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. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. 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