Lets begin! Assistant Vice President, AI Security Architecture & Cloud Security-Azure Focus (12296)

Moody's•New York, NY

About The Position

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. 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.

Requirements

5-7 years of experience in cybersecurity engineering, with a focus on AI and Cloud security
Deep understanding of Azure cloud architecture and AI security principles
Strong analytical and problem-solving skills evidenced by resolving complex security incidents within SLA and leading cross-functional risk assessments
Expertise in designing and implementing security controls for AI/ML systems and Azure environments, with proven ability to reduce vulnerabilities through proactive control implementation
Ability to lead and mentor teams in AI security best practices
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 innovative initiatives.
Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization
Bachelor's degree in computer science, Information Security, or related field (master's preferred)
Relevant certifications in Azure Security and AI Security strongly desired

Responsibilities

Develop and own the multi-year AI security strategy and roadmap for securely leveraging Azure AI services (e.g., Azure OpenAI, Azure ML)
Define and enforce enterprise AI security policies and control frameworks aligned with Azure best practices and regulatory mandates (e.g., NIST AI RMF)
Architect secure AI/ML environments in Azure, including data segmentation, network controls, and identity/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 (MCP) servers
Lead risk reporting to CISO, executive leadership, and the Board on AI security posture and compliance with emerging regulations
Mentor and lead a team of AI Security Engineers and architects, fostering Azure-native security expertise and collaboration across teams
Collaborate with engineering, legal, and compliance teams to embed security early (“shift left”) and ensure secure adoption of AI technologies
Drive innovation by challenging existing processes, proposing solutions, and contributing to secure business enablement