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Salary
$100k – $200k per year
Location
In office (Columbia)
Seniority
Staff · 10+ years exp

Confirmed on the employer's own hiring board on Nov 5, 2026. First seen by Alion on Nov 3, 2026. Cyber, Data Analytics & Engineering Services scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Customer-centric and results-driven with a team of Cyber & Intelligence SMEs, Engineers, Technology Integrators & Administrators.

LLM architectures, generative AI, token mechanics, context windows, token pricing, tokenization, vector embeddings, cloud-based AI APIs, and enterprise AI scaling.

Due to federal contract requirements, United States citizenship and an active TS/SCI security clearance and polygraph are required for the position.

Required:

    • Must be a US Citizen
    • Must have TS/SCI clearance w/ active polygraph
    • Requires current CI poly within last seven (07) years.
    • Twelve (12) years of Experience with a Bachelors Degree or Sixteen (16) years with HS Diploma.
    • Degree in Systems Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management or related discipline from an accredited college or university.
    • Ten (10) years of experience with U.S. Government and Department of War policies, directives, and governance structures related to artificial intelligence, data ethics, emerging technologies, or technology acquisition.
    • Experience supporting Department of Defense, Intelligence Community, U.S. Government, or cyber mission organizations.
    • Extensive experience in artificial intelligence, machine learning systems engineering, technical program architecture, LLM operations, AI resource management, requirements analysis, or acquisition support
    • Demonstrated knowledge of LLM architectures, generative AI, token mechanics, context windows, token pricing, tokenization, vector embeddings, cloud-based AI APIs, and enterprise AI scaling.
    • Experience developing cost models, financial analyses, spending forecasts, market assessments, and investment recommendations.
    • Strong technical writing, requirements development, documentation, briefing, and stakeholder-engagement skills.
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