Resource will need to be in Richmond, VA Quarterly. Both Phone and In Person Interview is required The Virginia Department of Transportation's Information Technology Division is seeking a highly skilled Agentic Engineer to design, develop that solve real-world problems. The ideal candidate will have experience in designing data process to support agentic systems. ensure data quality and facilitating interaction between agents and data. Responsibilities • Design and develop data pipelines for agentic systems; develop robust data flows to handle complex interactions between AI agents and data sources. • Train and fine-tune large language models (LLMs). • Design and build data architecture, including databases and data lakes, to support various data engineering tasks. • Develop and manage Extract, Load, Transform (ELT) processes to ensure data is accurately and efficiently moved from source systems to analytical platforms used in data science. • Implement data pipelines that facilitate feedback loops, allowing human input to improve system performance in human-in-the-loop systems. • Work with vector databases to store and retrieve embeddings efficiently. • Collaborate with data scientists and engineers to preprocess data, train models, and integrate AI into applications. • Optimize data storage and retrieval for high performance. • Conduct statistical analysis to identify trends and patterns and create data formats from multiple sources. Qualifications • Strong data engineering fundamentals. • Experience with big data frameworks such as Apache Spark and Azure Databricks. • Ability to train LLMs using structured and unstructured datasets. • Understanding of graph databases. • Experience with Azure services including Blob Storage, Data Lakes, Databricks, Azure Machine Learning, Azure Computer Vision, Azure Video Indexer, Azure OpenAI, Azure Media Services, and Azure AI Search. • Proficient in determining effective data partitioning criteria and implementing partition schemas using Spark. • Understanding of core machine learning concepts and algorithms. • Familiarity with cloud computing concepts and practices. • Strong programming skills in Python and experience with AI/ML frameworks. • Proficiency in working with vector databases and embedding models for retrieval tasks. • Expertise in integrating with AI agent frameworks. • Experience with cloud-based AI services, especially Azure AI. • Proficient with version control systems such as Git. • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field Required Skills • Understanding of Big Data Technologies – 5 Years • Experience developing ETL and ELT pipelines – 5 Years • Experience with Spark, GraphDB, Azure Databricks – 5 Years • Experience training LLMs with structured and unstructured data sets – 4 Years • Experience in Data Partitioning and Data Conflation – 3 Years • Experience with GIS spatial data – 3 Years