Asst Dir-Applied AI Engineer

Moody

United States

Remote

USD 117.000 - 169.000

Vollzeit

vor 6 Stunden
Sei unter den ersten Bewerbenden
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Benefits dieser Stelle

medical
dental
vision
parental leave
paid time off
401(k) plan
life
disability
accident insurance
discounted employee stock purchase
tuition reimbursement

Zusammenfassung

Moody's is seeking an Asst Dir-Applied AI Engineer to build and lead AI-powered software solutions across Moody's, from discovery to production. You will identify high-friction business problems, design full-stack AI-powered applications, and own delivery end-to-end while guiding technical tradeoffs for both technical and non-technical stakeholders.

The role emphasizes leadership, collaboration with the Applied AI Engineering team, and responsible AI governance.

Qualifikationen

  • Bachelor's degree in CS/Engineering or equivalent practical experience.
  • Strong backend with Python; frontend with TypeScript/React.
  • Experience with Go, AWS, Kubernetes; production AI workloads.
  • Experience with large language models and retrieval-augmented generation.
  • Ability to lead projects and communicate tradeoffs.

Aufgaben

  • Build and lead AI-powered software solutions from discovery through production.
  • Identify high-friction problems and design software solutions.
  • Build full-stack apps powered by modern AI tooling; own delivery end-to-end.
  • Lead technical design and communicate tradeoffs to stakeholders.
  • Mentor engineers and contribute to team practices.

Kenntnisse

Full stack
Python
TypeScript
GoLang
AWS
Kubernetes
HashiStack
LLMs in prod
Data integration
Product leadership
AI governance

Ausbildung

Bachelor's degree in Computer Science, Engineering, or related field

Jobbeschreibung

Let's begin! Asst Dir-Applied AI Engineer (15541)

Requisition ID15541-Posted10/08/2026-Remote Worker-USA1-40

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.

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 organization
Education
  • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
Responsibilities

Build 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 standards
About the Team

Our 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 work, to external products that reach our customers directly. By joining our team, you will be part of exciting work at the intersection of enterprise software and applied AI, contributing to enterprise-grade platforms, fostering responsible AI adoption, and enabling cutting-edge technologies that transform business processes globally. We believe better decisions come from putting the right information in front of the right people at the right time — and Applied AI, used with judgement and grounded in real workflows, is how we get there.

For US-based roles only: the anticipated hiring base salary range for this position is$116,500.00-$169,000.00, 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.

  • medical
  • dental
  • vision
  • parental leave
  • paid time off
  • a 401(k) plan with employee and company contribution opportunities
  • life
  • disability
  • accident insurance
  • discounted employee stock purchase plan
  • 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 other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com . This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

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