WisEngineering, LLC is currently interviewing candidates for an immediate or near term position with our company in support of ongoing Department of Defense programs at Picatinny Arsenal in Dover, NJ. Candidate must be US Citizen with the ability to obtain a security clearance. Successful candidate will be a direct (W2) employee of WisEngineering.
Location: On Site Picatinny Arsenal, Dover, NJ (No remote option)
Start Date: TBD 3-6 Weeks
WisEngineering is seeking a highly technical Data Analyst / Data Architect to support an upcoming opportunity for Department of Defense programs at Picatinny Arsenal. This is not a traditional business analyst role; it requires a hands-on technical professional who can maintain localized AI infrastructure, engineer data pipelines, and build robust business intelligence dashboards. You will bridge the gap between system administration, data engineering, and applied AI. Your primary focus will be supporting Army Vantage (Palantir) and locally hosted Large Language Models (LLMs), identifying and scraping web data to enrich these models, performing system administration duties for the AI environment, and building tracking metrics and reports for leadership.
KEY REQUIREMENTS
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U.S. Citizenship REQUIRED due to DoD security clearance requirements
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Ability to obtain and maintain a security clearance, if required.
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This is an onsite position 5 days per week at Picatinny Arsenal, Dover, NJ. Remote work is not permitted.
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Local Candidates Preferred - Limited relocation assistance may be available
CORE RESPONSIBILITIES
AI Administration & LLM Support
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Local Infrastructure Management: Serve as the technical point of contact for locally hosted LLM environments utilizing Ollama and LM Studio, specifically supporting the Gemma model family. Perform troubleshooting and optimization for the local AI/LLM setup.
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Data Identification & Web Scraping: Actively identify external and internal data gaps needed to train or ground the LLM. Write and maintain Python web-scraping scripts to safely harvest relevant web data.
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Data Modeling and Analytics: Create and maintain data models to support analytics and reporting needs, ensuring scalability and performance optimization.
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Data Documentation: Ability to write clear and comprehensive documentation for datasets, workflows, scripts, and dashboards to ensure reproducibility and knowledge sharing.
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Security Compliance: Ensure all data ingestion, scrapin