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

• 5+ years of industry experience in designing and operating enterprise scale data platforms, using Microsoft Fabric as the primary platform, including Fabric Lakehouse, Dataflows Gen2, OneLake or Synapse Analytics, with Microsoft Azure services used in conjunction, required to deliver scalable, reliable, and high performance data foundations aligned with business objectives.
• Strong hands on technical capability in Python, PySpark, and Structured Query Language, required to build robust, maintainable data pipelines, transformations, and integrations that support analytics and AI driven workloads.
• Proven ability to design and build agent based and generative artificial intelligence solutions, using Microsoft agentic frameworks and services such as Copilot Studio, LangChain, and Azure OpenAI services, with working knowledge of similar AI platforms across other cloud providers such as Amazon Bedrock or Google Vertex AI considered a good to have.
• Deep understanding of software engineering, cloud architecture, and operational practices, including version control, continuous integration and continuous delivery, secure coding, testing, documentation, and software development life cycle methodologies such as Agile and hybrid models, required to maintain high engineering standards, reliability, and governance.
• Strong analytical and problem solving skills, required to diagnose complex data and system issues, design effective solutions, and make sound technical decisions in high impact, production environments.
• Demonstrated technical leadership, collaboration, and mentoring abilities, required to partner closely with business and technical stakeholders, translate requirements into scalable solutions, guide junior engineers, and contribute to the successful delivery of highly visible enterprise initiatives.

Education

• Bachelor’s or higher degree in Computer Science or a related technical field.

Responsibilities

• Design, implement, and maintain intelligent AI agents and multi agent workflows using LangChain, Copilot Studio, and Microsoft AI and machine learning services.
• Develop, manage, and optimize data pipelines and architectures using Microsoft Fabric as the primary platform, including Fabric Lakehouse, Data Pipelines, Dataflows Gen2, OneLake, or Synapse Analytics, with Microsoft Azure services used in conjunction.
• Translate business requirements into scalable AI and data solutions, including data modeling, prompt engineering, agent orchestration, and workflow automation.
• Write high quality, secure, and maintainable code using Python with PySpark, Structured Query Language, and supporting frameworks, while leading and participating in code reviews and enforcing engineering best practices.
• Monitor AI agent pipelines and data workflows, troubleshoot issues, perform root cause analysis, and implement durable solutions to ensure reliability and performance.
• Work closely with business, product, and technical teams to prioritize work, align solutions with business goals, and communicate technical concepts clearly and effectively.
• Guide and mentor junior engineers and developers, providing feedback, design guidance, and best practices for both data engineering and AI solutions.
• Stay current with emerging AI, cloud, and data engineering technologies, and evaluate new tools and frameworks for potential integration into enterprise solutions.
• Ensure solutions adhere to data governance, security, and enterprise compliance standards, and maintain clear documentation for data models, pipelines, and AI workflows.
• Maintain source code repositories and automated build and deployment pipelines using GitHub or Azure DevOps to support reliable and repeatable releases.
• 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.

About the team

The Corporate Systems team, part of the Technology Services Group, supports Moody’s core business and technology operations by enabling reliable day-to-day execution, strong coordination, and effective governance across corporate platforms and shared services. The team partners closely with senior leaders, product teams, and key stakeholders across the enterprise to drive operational excellence while also advancing innovation, including the adoption and enablement of AI-driven capabilities. By bringing structure, clarity, and rigor to

complex environments, Corporate Systems team members contribute to high-impact work that improves how technology is delivered, operated, and evolved across the organization—helping ensure Moody’s systems are resilient, forward-looking, and positioned for continued growth.

#LI-Hybrid

Annual base salary gross: €53,300.00 to €85,300.00. Applicable to Lithuania candidates: The base salary range represents the low and high end of the Moody’s salary range for this position. Actual salaries will vary and will be based on various factors, such as candidate’s qualifications, skills, and competencies. The salary is one component of Moody’s total compensation package for employees. Other rewards and benefits include the following: Medical, Personal Accident, Life Insurance and Time Off.

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.