ANSHULTECH is seeking an experienced (10+ years of leading data science projects or teams) Artificial Intelligence Engineer - Agentic Data Engineer, for our customer, Virginia Department of Transportation (VDoT) at 1401 E Broad St, Richmond, VA 23219. Location: This position is open to Washington DC Metro Area Local Candidates ONLY! Please do not apply if you do not live in Washington DC/Maryland/Virginia. Duration: 7/21/2025 - 12/31/2025 VISA Status: US Citizens, Green Card holders, or H4 EAD holders, or H1B Transfers ONLY; NO OPT EAD or H1B sponsorship. Education: M.S. or Ph.D in a STEM field (Natural Sciences, Computer Science, Statistics) 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 Skills: • 10 years of Advanced proficiency in Python and/or R • 10 years of Knowledge of SQL Databases • 5 Years of Experience with Spark, GraphDB, Azure Databricks • 4 years of Experience training LLMs with structured and unstructured data sets • 4 years of Experience with Machine Learning • 2 years of Experience with GIS spatial data