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VP- AI Platform and DevOps Engineer
Charlotte, United States; New York, United States
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Posted
07/02/2026
Job reference
14041
Experience level
Experienced Hire
Job category
Engineering & Technology
Line of business
Technology Services Group
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 CompetenciesExecutive-level experience leading DevOps, cloud infrastructure, or platform engineering teams in a large enterprise environmentDeep experience with managed Kubernetes platforms including Azure Kubernetes Service and Amazon Web ServicesHands-on experience with Terraform and Infrastructure as CodeProficiency designing and governing CI/CD pipelines using enterprise tools such as GitHub ActionsStrong background supporting artificial intelligence or data-driven platforms in production environmentsDemonstrated leadership driving complex platform transitions across organizational boundariesProven ability to build scalable, secure, and repeatable DevOps practicesDeep 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 organizationEducationBachelor's degree in Computer Science, Engineering, or related technical fieldResponsibilitiesLead 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 solutionsEstablish standards, governance, and operating models for cloud infrastructureServe as a senior technical advisor on cloud, DevOps, and AI platform capabilitiesOwn the foundational AI platform supporting enterprise tools and assume operational ownership of Moody's Copilot infrastructureLead DevOps for development and testing environments and drive Infrastructure as Code adoption using TerraformOversee managed Kubernetes environments ensuring resilience and enhance developer experience through automation and toolingHost and maintain an MCP discovery tool enabling AI agent reuse and partner with AI and product teams to...
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