AI Token Specialist - CLEARANCE and POLYGRAPH REQUIRED

Constellation Technologies, Inc•Columbia, MD

6d•$100,000 - $200,000

About The Position

The AI Token Specialist will apply expertise in LLM architectures, generative AI, token mechanics, context windows, token pricing, tokenization, vector embeddings, cloud-based AI APIs, and enterprise AI scaling. The position supports work involving U.S. Government and Department of War policies, directives, and governance related to artificial intelligence, data ethics, emerging technologies, or technology acquisition, and may support Department of Defense, Intelligence Community, U.S. Government, or cyber mission organizations. The role requires extensive experience in artificial intelligence, machine-learning systems engineering, technical program architecture, LLM operations, AI resource management, requirements analysis, or acquisition support. Responsibilities and qualifications also include developing cost models, financial analyses, spending forecasts, market assessments, and investment recommendations, along with strong technical writing, requirements development, documentation, briefing, and stakeholder-engagement skills. Due to federal contract requirements, applicants must be U.S. citizens and hold an active TS/SCI security clearance with an active polygraph. A current CI polygraph within the last seven years is required. The position offers an annual salary range of $100,000–$200,000; the range is a general guideline and does not guarantee compensation. Offers may account for responsibilities, education, experience, skills, internal equity, market data, applicable agreements, and law. Contract and work locations are listed in Maryland, Virginia, Colorado, Texas, Utah, Florida, and Hawaii.

Requirements

U.S. citizenship.
Active TS/SCI security clearance with an active polygraph.
Current CI polygraph 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 from an accredited college or university in Systems Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or a related discipline.
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

Apply knowledge of LLM architectures, generative AI, token mechanics, context windows, token pricing, tokenization, vector embeddings, cloud-based AI APIs, and enterprise AI scaling.
Support work involving U.S. Government and Department of War policies, directives, and governance structures related to artificial intelligence, data ethics, emerging technologies, or technology acquisition.
Support Department of Defense, Intelligence Community, U.S. Government, or cyber mission organizations.
Develop cost models, financial analyses, spending forecasts, market assessments, and investment recommendations.
Perform work involving artificial intelligence, machine-learning systems engineering, technical program architecture, LLM operations, AI resource management, requirements analysis, or acquisition support.
Develop requirements and documentation, prepare technical writing and briefings, and engage stakeholders.

Benefits

Affordable healthcare options with 80% employer-paid premium and a company-funded HSA.
Comprehensive dental insurance.
Vision insurance with 80% employer-paid premium.
Employer-paid life insurance (100%).
Employer-paid short-term and long-term disability insurance (100%).
Annual training, continued education, and professional-membership reimbursement.
Unlimited 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, including Destination Family Events, a Holiday Party, and Monthly Get-Togethers.
Leadership-team engagement and mentorship.
Performance Recognition Program.
Complimentary branded apparel.
Potential one-time external referral bonus of up to $10,000.