Agentic Data Engineer

Job Location: Richmond, VA (Hybrid)

Note: Candidates with Department of Transportation or state agency experience are strongly preferred.

Each candidate must submit a government‑issued  (Driver’s License or Passport) and provide three professional references (names, official emails, and phone numbers).

The Virginia Department of Transportation (VDOT) is seeking an Agentic Data Engineer to design, develop, and deploy data pipelines that leverage agentic AI to solve real‑world transportation data problems. The role involves architecting complex data flows, training large language models, integrating human‑in‑the‑loop feedback systems, and managing AI data operations on cloud‑based platforms.

• Agentic AI Integration – Designing pipelines that enable dynamic interactions between AI agents and diverse data systems.
• LLM Training & Optimization – Preprocessing structured/unstructured data, training LLMs, and enhancing performance with feedback loops.
• GIS and Spatial Data Processing – Working with road topology, geo‑location data, and spatial correlation using lat/long datasets.
• Big Data & Cloud Engineering – Leveraging Spark, Graph
  
  DB, Databricks, and Azure services for high‑volume data processing.
• AI + Transportation Domain Expertise – Applying agentic solutions for what‑if analysis, forecasting, correlation modeling, and decision recommendations.

• Design and manage robust ELT pipelines and data architectures (lakes, databases).
• Implement vector databases and embedding models for retrieval‑based AI.
• Build feedback loops for human‑in‑the‑loop learning in AI systems.
• Train and fine‑tune large language models (LLMs).