Let's begin! VP Mgr-Applied AI Engineering

Moody's Corporation•Charlotte, NC

16h

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 Applied AI Engineering team is responsible for driving innovation and building scalable AI solutions across Moody’s. By joining our team, you will contribute to developing enterprise-grade AI platforms, fostering responsible AI adoption, and enabling cutting-edge technologies that transform business processes globally

Requirements

Deep understanding of large language models (LLMs) and ability to build enterprise-capable applications utilizing them
Expertise in AI architecture and ability to set strategic direction for AI Hub and Center of Excellence initiatives
Strong leadership skills to manage diverse technical teams, including LLM Ops, UI/UX development, and DevOps
Ability to design and maintain evaluation frameworks for AI models, including load testing and CI/CD integration
Proficiency in developing tools for model routing, fine-tuning, and gateway testing
Demonstrated experience in infrastructure management, including environments for development, UAT, and production
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 or Master’s degree in Computer Science, Engineering, or a related technical field

Nice To Haves

Advanced degree preferred

Responsibilities

Set strategic direction for AI Hub and Center of Excellence initiatives
Collaborate with stakeholders to identify business needs and prioritize AI engineering projects
Lead development of enterprise AI applications leveraging LLMs
Oversee creation and maintenance of evaluation tools and frameworks for AI models
Manage teams responsible for model routing, fine-tuning, and component library development
Direct UI/UX development for AI platforms and tools
Ensure robust DevOps practices, including CI/CD pipeline management and infrastructure as code
Communicate new designs and technologies to governance bodies and stakeholders