Asst Dir-Applied AI Engineer

Moody’s is seeking an Assistant Director, Applied AI Engineer to help build and lead development of AI-powered software solutions across the organization. This role spans the full lifecycle from discovery to production, combining full-stack delivery with hands-on large language model experience and responsible AI adoption.

In this position, you will work across business and engineering stakeholders to identify high-friction challenges, design practical solutions, and take end-to-end ownership of the software you ship. You will also spend time with end users to ensure products reflect real workflows, while maintaining quality and performance after launch.

Responsibilities

• Build and lead AI-powered software solutions that address real business problems across Moody’s, from discovery through production
• Spot high-friction problems across the business and design software solutions to address them effectively
• Develop full-stack applications using modern AI tooling, owning delivery end-to-end
• Provide technical design direction on assigned projects and clearly articulate tradeoffs to technical and non-technical stakeholders
• Engage with end users to understand how they work and translate insights into informed product decisions
• Ship to production and maintain accountability for quality and performance after launch
• Review, test, and approve code to ensure quality, consistency, and alignment with engineering standards
• Support and mentor engineers on the team while contributing to their technical growth
• Contribute to continuous improvement of team practices, tooling, and engineering standards

Requirements

• Strong generalist engineering experience with the ability to design, build, and deliver reliable software across the full stack
• Proficiency in Python (or similar) for backend services and AI workloads, plus TypeScript or React (or comparable frameworks) for frontend development
• Hands-on experience with GoLang, AWS, and Kubernetes / Hashi Stack (must haves)
• Hands-on experience with large language models in production, including retrieval-augmented generation, evaluations, and deployment
• Working knowledge of cloud infrastructure, containerization, and operational responsibilities that come with owning production services
• Experience working with complex real-world data sources, including documents, contracts, and internal enterprise systems
• Product instinct to translate user needs into software decisions, with the ability to communicate technical tradeoffs to non-engineers
• Proven ability to lead projects independently and collaborate effectively
• Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency, including use of AI tools to lead innovation initiatives, and demonstrated leadership in managing AI-related risks, ethical governance, and responsible AI adoption

Technologies

• Python
• TypeScript
• React
• GoLang
• AWS
• Kubernetes
• Hashi Stack
• Large language models
• Retrieval-augmented generation
• Cloud infrastructure
• Containerization

Compensation and Location

• Location: United States (onsite)
• Salary: USD 116,500 - 169,000 per year

Education

• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Parental leave
• Paid time off
• 401(k) plan with employee and company contribution opportunities
• Life insurance
• Disability insurance
• Accident insurance
• Discounted employee stock purchase plan
• Tuition reimbursement
• Incentive compensation

About the Team

Moody’s Applied AI Engineering team drives innovation and builds scalable AI solutions. The team identifies high-impact problems across the business and builds software that solves them, including internal platforms that transform how legal and operations teams work and external products that reach customers directly.

The team works at the intersection of enterprise software and applied AI, building enterprise-grade platforms and contributing to responsible AI adoption grounded in real workflows. The focus is on putting the right information in front of the right people at the right time using applied AI with judgment.