Direct Client :: Artificial Intelligence Engineer - Agentic Data Engineer _ Richmond, VA 23219 _ Both Phone and In Person

  • Richmond, VA
  • Posted 14 hours ago | Updated 14 hours ago

Overview

On Site
Hybrid
$90+
Full Time

Skills

Python
Data Engineer
SQL
LLM
Machine Learning
GIS
ArcGIS
Agentic
Spatial

Job Details

Job Title : Artificial Intelligence Engineer - Agentic Data Engineer

Start Date: 07/21/2025

End Date: 12/31/2025

Address: Richmond, VA 23219

Interview Type: Both Phone and In Person

Work Arrangement: Hybrid

Complete Description: The Client 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.

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

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