VP- AI Platform and DevOps Engineer

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.

• Executive-level experience leading Dev Ops, cloud infrastructure, or platform engineering teams in a large enterprise environment
• Deep experience with managed Kubernetes platforms including Azure Kubernetes Service and Amazon Web Services
• Hands‑on experience with Terraform and Infrastructure as Code
• Proficiency designing and governing CI/CD pipelines using enterprise tools such as Git Hub Actions
• Strong background supporting artificial intelligence or data‑driven platforms in production environments
• Demonstrated leadership driving complex platform transitions across organizational boundaries
• Proven ability to build scalable, secure, and repeatable Dev Ops 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 innovation 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, Engineering, or related technical field

Lead enterprise Dev Ops and AI platform strategy, owning the foundational infrastructure that powers Moody’s internal artificial intelligence solutions and shared services ecosystem.

• Define and execute the enterprise Dev Ops and AI platform strategy supporting internal artificial intelligence solutions
• Establish standards, governance, and operating models for cloud infrastructure
• Serve as a senior technical advisor on cloud, Dev Ops, and AI platform capabilities
• Own the foundational AI platform supporting enterprise tools and assume operational ownership of Moody's Copilot infrastructure
• Lead Dev Ops for development and testing environments and drive Infrastructure as Code adoption using Terraform
• Oversee managed Kubernetes environments ensuring resilience and enhance developer experience through automation and tooling
• Host and maintain an MCP discovery tool enabling AI agent reuse and partner with AI and product teams to operationalize evaluation and monitoring
• Lead organizational transition of Copilot into Shared Services Technology Solutions Group

Our AI Platform and Core Services team is responsible for building and operating the foundational platform that powers enterprise artificial intelligence applications at Moody's. We drive the infrastructure, tooling, and governance that enable AI‑powered innovation at scale — from managing cloud‑native environments and Kubernetes platforms to operationalizing the systems that bring Moody's Copilot and other intelligent solutions to life. By joining our team, you will be part of a forward‑thinking group at the center of Moody's AI transformation, working alongside talented engineers and cross‑functional partners to turn today's platform investments into tomorrow's intelligent capabilities.

For US-based roles only: the anticipated hiring base salary range for this position is $170,000-$220,000, depending on factors such as experience, education, level, skills, and location. This…