AI Token Specialist - CLEARANCE and POLYGRAPH REQUIRED

Constellation Technologies•Fort Meade, MD

About The Position

The AI Token Specialist supports work involving LLM architectures, generative AI, token mechanics, context windows, token pricing, tokenization, vector embeddings, cloud-based AI APIs, and enterprise AI scaling. The role supports Department of Defense, Intelligence Community, U.S. Government, or cyber mission organizations, including work related to artificial intelligence policy, governance, technical architecture, resource management, requirements, and acquisition. Due to federal contract requirements, applicants must be U.S. citizens with an active TS/SCI clearance and polygraph, including a current CI polygraph completed within the last seven years.

Requirements

Must be a U.S. citizen.
Must have an active TS/SCI security clearance and active polygraph.
Must have a current CI polygraph completed within the last seven years.
Twelve years of experience with a bachelor's degree, or sixteen years of experience with a high school diploma.
Degree in Systems Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or a related discipline from an accredited college or university.
Ten 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.

Responsibilities

Support work involving artificial intelligence, machine learning systems engineering, technical program architecture, LLM operations, AI resource management, requirements analysis, or acquisition.
Develop cost models, financial analyses, spending forecasts, market assessments, and investment recommendations.
Develop technical documentation and requirements, prepare briefings, and engage with stakeholders.
Support U.S. Government and Department of War policies, directives, and governance structures related to AI, data ethics, emerging technologies, or technology acquisition.

Benefits

Affordable healthcare options with 80% employer-paid premium and a company-funded HSA.
Dental insurance.
Vision coverage with 80% employer-paid premium.
Employer-paid life insurance.
Employer-paid short-term and long-term disability insurance.
Annual training, continued education, and professional memberships reimbursement.
Access to Red Hat Enterprise Linux and AWS training and accreditation.
Annual reimbursement for technology such as phones, computers, and printers.
401(k) with company match up to 5% and 100% immediate vesting after 90 days of employment.
Professional development investment and paid time off for training.
Team-building events throughout the year.
Leadership team engagement and mentorship.
Performance Recognition Program.
Complimentary branded apparel.
Potential one-time referral bonus of up to $10,000 for qualifying referrals.