

Artificial Intelligence Engineer - Agentic Data Engineer - Hybrid (quarterly) in Richmond, VA
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an Artificial Intelligence Engineer - Agentic Data Engineer in Richmond, VA, on a contract lasting until 12/31/2025. Required skills include advanced proficiency in Python/R, SQL, and experience with Spark and machine learning.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 9, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Richmond, VA
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π§ - Skills detailed
#Azure Databricks #Data Framework #Computer Science #Spark (Apache Spark) #Databricks #R #Databases #AI (Artificial Intelligence) #Data Engineering #SQL (Structured Query Language) #ML (Machine Learning) #Data Science #Azure #Supervised Learning #Big Data #Python #GIT #Spatial Data #Statistics #Unsupervised Learning
Role description
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Job Info:
β’ Job Title: Artificial Intelligence Engineer - Agentic Data Engineer
β’ Client: State of VA
β’ Start Date: 07/21/2025 (Tentative)
β’ Position Type: Contract
β’ Duration: 12/31/2025 (with possibility of extension)
β’ Location: Richmond, VA (Hybrid - quarterly)
β’ Work Hours: 40 hours/week
β’ Interview Type: Phone
β’ Internal Job ID: OOJ - 4054
β’ Client Job ID: 766844
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β’
β’ Resource will need to be in Richmond, VA quarterly
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β’ 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:
β’ Gather business needs and translate them to analytics.
β’ Produce code that is clearly documented and maintain a version-control system.
β’ Develop machine learning models that will address business needs.
β’ Effectively communicate analytics results to a range of stakeholders.
Qualifications:
β’ Demonstrated ability to perform research and communicate analyses to a wide range of audiences.
β’ Co-author or principal investigator for 5 or more peer-reviewed publications using advanced computational or statistical analyses and/or advanced ML methods.
β’ 10+ years of leading data science projects or teams.
β’ Gathers business requirements needed for analytics.
β’ Experience mentoring or guiding junior team members.
β’ Experience with supervised and unsupervised learning, model selection, feature engineering, and evaluation metrics.
β’ Experience with Big Data frameworks like Spark/Databricks.
β’ Experience with code version-control systems such as Git.
β’ 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 Β