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 ID (Driver’s License or Passport) and provide three professional references (names, official emails, and phone numbers).

Job Description:

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.

Specialty Areas:

• 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, GraphDB, 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.

Responsibilities:

• 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).

• Ensure efficient data storage/retrieval through partitioning and performance optimization.

• Collaborate with AI engineers and data scientists on preprocessing, modeling, and deployment.

• Work with GIS spatial data for route correlation and road network analysis.

• Apply machine learning and statistical techniques to analyze and format multi-source data.

Skill Matrix:

Skill
Experience (Years)

1+

1+

1+

3+

3+

2+

3+

1+

1+

1+

Mandatory Requirements:

• Strong understanding of data engineering and agentic AI concepts.

• Minimum 1 year experience with Spark/Databricks and data architecture on Azure.

• At least 3 years of Python scripting and spatial data experience.

• Proven ability to build pipelines integrating AI agents with large datasets.

• Experience with LLM training and vector databases.

Qualifications:

• Bachelor’s or Master’s in Computer Science, Data Science, or AI.

• Prior experience with Department of Transportation data and systems.

• Familiarity with embedding models, Graph DBs, and cloud AI services.

• Strong communication, problem-solving, and collaborative skills.

Submission Requirements:

• Updated Résumé

• Government-issued ID (Driver’s License or Passport)

• Three professional references (Names, official emails, phone numbers)