VP Mgr-Applied AI Engineering

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.

• 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 Dev Ops
• 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
• Advanced degree preferred

• 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 Dev Ops practices, including CI/CD pipeline management and infrastructure as code
• Communicate new designs and technologies to governance bodies and stakeholders

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.

For US-based roles only: the anticipated hiring base salary range for this position is $–$, 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 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.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any…