Agentic Data Engineer

Responsibilities:
Agentic Data Engineer to design, develop, and deploy data pipelines that leverage agentic AI that solve real-world problems.
The Virginia Department of Transportation's Information Technology Division is seeking a highly skilled Agentic Data Engineer to design, develop, and deploy data pipelines that leverage agentic AI 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.

• Designing and developing data pipelines for agentic systems, develop Robust data flows to handle complex interactions between AI agents and Data sources.
• Ability to train and fine tune large language models
• Design and build the data architecture, including databases, 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 with high performance.
• Statistical analysis, trends, patterns to create data formats from multiple sources.

Requirements:

• Strong Data engineering fundamentals.
• Utilize Big data frameworks like Spark/Databricks.
• Training LLMs with structed and unstructured data sets.
• Understanding of Graph DB.
• Experience with Azure Blob Storage, Azure Data Lakes, Azure Databricks.
• Experience implementing Azure Machine Learning, Azure Computer Vision, Azure Video Indexer, Azure OpenAI models, Azure Media Services, Azure AI Search.
• Determine effective data partitioning criteria.
• Utilize data storage system spark to implement partition schemes.
• Understanding core machine learning concepts and algorithms.
• Familiarity with Cloud computing skills.
• Strong programming skills in Python and experience with AI/ML frameworks.
• Proficiency in vector databases and embedding models for retrieval tasks.
• Expertise in integrating with AI agent frameworks.
• Experience with cloud AI services (Azure AI).
• Experience with GIS spatial data to create markers on maps (lat long nearest topology of road, geo-locate between datasets, correlation etc.).
• Experience with Department of Transportation Data Domains developing an AI Composite Agentic Solution designed to identify and analyze?data models, connect & correlate?information to validate?hypotheses, forecast, predict and recommend?potential strategies and conduct What-if analysis.
• Bachelor's or master's degree in computer science, AI, Data Science, or a related field.