Data Engineer - Artificial Intelligence

This job is with Moody's, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

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

• Hands-on experience building and deploying Agentic AI solutions using tools like FastMCP, LangChain interacting with Azure OpenAI API, various other LLMs. Experience with RAG based implementation is essential.
• Python, JavaScript, HTML, and CSS, with strong proficiency in both front-end (React or Angular) and back-end (Django, FastAPI, Flask) frameworks. Ability to go through API documentation of any product and develop solutions using best practices.
• Skilled in designing cloud-based solutions across Azure, with experience in containerization (Docker), DevOps pipelines using GithHub actions, and version control (Git).
• Proficient in SQL (PostgreSQL, MSSQL) and NoSQL (Cosmos DB) systems; experienced in auditing and resolving data quality issues.
• Understanding of secure coding practices, authentication, and data masking; Familiarity with AI testing frameworks like LangSmith and Langfuse as well as code testing frameworks like Pytest is a plus.
  

Education

• Bachelor’s or Master’s degree in Computer Science, Engineering field
  

Responsibilities

• Work on AI application and agent development, integrating Python backends with modern front-end frameworks, and deploying solutions on Azure.
• Design and implement enterprise-grade Generative AI solutions, including LLM-based chatbots and business domain-specific use cases.
• Collaborate with cross-functional teams to deliver high-quality solutions, contributing to both UI and backend development while translating UX/UI designs into functional interfaces.
• Write secure, reusable code, enforce best practices, and participate in code reviews to maintain high-quality standards.
  

About The Team

Our Technology Services Group (TSG) Team is responsible for delivering Innovative, data driven tech solutions. We build solutions that power analytics, enable machine learning, and provide critical insights across the organization. By joining our team, you will be part of exciting work in building scalable, next-generation data solutions that directly impact business strategy.Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.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.