VP- AI Platform and DevOps Engineer

Skills and Competencies

• 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

Lead enterprise DevOps and AI platform strategy

• 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

Pay, Benefits & Schedule

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 range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody's also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.