Let's begin! VP- AI Platform and DevOps Engineer

Moody's Corporation•Charlotte, 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 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.

Requirements

Executive-level experience leading DevOps, 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 GitHub 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 DevOps 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

Responsibilities

Lead enterprise DevOps 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 DevOps 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, DevOps, and AI platform capabilities
Own the foundational AI platform supporting enterprise tools and assume operational ownership of Moody's Copilot infrastructure
Lead DevOps 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