Overview
On Site
USD 1-1
Full Time
Part Time
Accepts corp to corp applications
Contract - W2
Contract - Independent
Skills
Artificial Intelligence Engineer
Agentic AI
Agentic Data Engineer
AI Engineering
Machine Learning
Supervised Learning
Unsupervised Learning
LLM Training
Structured Data
Unstructured Data
Feature Engineering
Model Selection
Evaluation Metrics
Python
R Programming
SQL
SQL Databases
Big Data
Spark
Azure Databricks
GraphDB
Version Control
Git
Data Science
Data Modeling
Data Analytics
Data Engineering
Data Pipeline Development
AI Model Deployment
Computational Analysis
Statistical Analysis
GIS Spatial Data
Geospatial Analytics
Advanced ML Methods
Peer-Reviewed Publications
AI Research
Business Requirements Gathering
Stakeholder Communication
Code Documentation
Version Control Systems
Code Repositories
Analytics Communication
STEM Degree
Ph.D. Preferred
Computer Science
AI Projects
Data Science Leadership
Model Development
VDOT
Richmond VA
Government AI Role
Onsite Quarterly
Hybrid AI Job
Data Science Mentorship
Data Science Team Lead
Advanced Analytics
Databricks ML
Real-World AI Applications
AI in Transportation.
Job Details
Job Info:
- Job Title: Artificial Intelligence Engineer - Agentic Data Engineer
- Client: State of VA
- Start Date: 07/21/2025 (Tentative)
- Position Type: Contract
- Duration: 12/31/2025 (with possibility of extension)
- Location: Richmond, VA (Hybrid - quarterly)
- Work Hours: 40 hours/week
- Interview Type: Phone
- Internal Job ID: OOJ - 4054
- Client Job ID: 766844
***Resource will need to be in Richmond, VA quarterly***
The Virginia Department of Transportation's Information Technology Division is seeking a highly skilled Artificial Intelligence Engineer 4- Agentic Data Engineer to design, develop, train and deploy data models that leverage agentic AI that solve real-world problems.
Responsibilities:
- Gather business needs and translate them to analytics.
- Produce code that is clearly documented and maintain a version-control system.
- Develop machine learning models that will address business needs.
- Effectively communicate analytics results to a range of stakeholders.
Qualifications:
- Demonstrated ability to perform research and communicate analyses to a wide range of audiences.
- Co-author or principal investigator for 5 or more peer-reviewed publications using advanced computational or statistical analyses and/or advanced ML methods.
- 10+ years of leading data science projects or teams.
- Gathers business requirements needed for analytics.
- Experience mentoring or guiding junior team members.
- Experience with supervised and unsupervised learning, model selection, feature engineering, and evaluation metrics.
- Experience with Big Data frameworks like Spark/Databricks.
- Experience with code version-control systems such as Git.
- Degree in Computer Science, AI, Data Science, or a related field.
Required/Desired Skills
| Skill | Required/Desired | Amount | of Experience |
|---|---|---|---|
| Advanced proficiency in Python and/or R | Required | 10 | Years |
| Knowledge of SQL Databases | Required | 10 | Years |
| Experience with Spark, GraphDB, Azure Databricks | Required | 5 | Years |
| Experience training LLMs with structured and unstructured data sets | Required | 4 | Years |
| Experience with Machine Learning | Required | 4 | Years |
| Experience with GIS spatial data | Required | 2 | Years |
| Ph.D. in a STEM field (Natural sciences, Computer Science, Statistics) | Nice to have | 0 |
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.