Senior Data & AI Engineer

Skip to main content Go to homepage Menu Saved Jobs (0) EN Filter Languages English English Canadian Français Canadian French View all jobs Search Jobs Find jobs for Location Radius miles 5 miles 15 miles 25 miles 35 miles 50 miles Search Senior Data & AI Engineer Vilnius, Lithuania Apply now Save job Posted 04/28/2026 Job reference 13012 Experience level Experienced Hire Job category Engineering & Technology Line of business Technology Services Group 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 Competencies5+ 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.EducationBachelor’s or higher degree in Computer Science or a related technical field.ResponsibilitiesDesign, 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...