Asst DirApplied AI Engineer
- NEW YORK, NY, United States
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Job details
- Posting language
- English
- Posted
Original job description
15541 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 Competencies * 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, and TypeScript or React (or comparable frameworks) for frontend development * Hands on experience with GoLang, AWS and Kubernetes / Hashi Stack are 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 the operational responsibilities that come with owning production services * Experience working with complex, real-world data sources including documents, contracts, and internal enterprise systems * Demonstrated product instinct with the ability to translate user needs into software decisions and clearly communicate technical tradeoffs to non-engineers * Proven ability to lead projects independently and serve as a strong collaborative teammate when appropriate * 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 organizationEducation * Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experienceResponsibilitiesBuild and lead the development of AI-powered software solutions that solve real business problems across Moody's, from discovery through production * Identify high-friction problems across the business and design software solutions that address them effectively * Build full-stack applications powered by modern AI tooling, owning delivery end-to-end * Lead technical design and direction on assigned projects, articulating tradeoffs clearly to both technical and non-technical stakeholders * Spend meaningful time with end users to understand how they work and translate those insights into informed product decisions * Ship to production and maintain accountability for the quality and performance of systems post-launch * Review, test, and approve code to ensure quality, consistency, and alignment with engineering standards * Support and mentor engineers on the team, contributing to their technical growth and development * Contribute to continuous improvement of team practices, tooling, and standardsAbout the TeamOur Applied AI Engineering team is responsible for driving innovation and building scalable AI solutions across Moody's. The team identifies high-impact problems across the business and builds the software that solves them - from internal platforms that transform how our legal and operations teams
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Skills
- Hazard assessment
- Python
- TypeScript
- React
- Front-end development
- Go
- AWS
- Kubernetes
- Artificial intelligence