AI Token Specialist

BB6 Defense•Columbia, MD

5d•$160,000 - $190,000

About The Position

BB6 Defense is seeking an AI Token Specialist to support the U.S. Cyber Command Chief Artificial Intelligence Officer. The role provides technical expertise in large language models, generative AI, token economics, AI resource management, and enterprise AI operations. The specialist develops strategies, cost models, requirements, technical documentation, and operational guidance to optimize token usage and inform AI budgeting, licensing, procurement, and infrastructure decisions. The position is based in Columbia, Maryland, is full time, and requires an active TS/SCI clearance with CI Polygraph.

Requirements

Active TS/SCI clearance with CI Polygraph, current within the last 7 years.
Bachelor’s degree in Computer Science or a related technical field and 12+ years of related professional experience; additional experience may substitute for education: 16 years with a high school diploma, or 10 years with a relevant technical master’s degree.
Extensive experience in artificial intelligence, machine learning systems engineering, technical program architecture, LLM operations, AI resource management, requirements analysis, or acquisition support.
At least 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.
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

Develop strategies to manage, allocate, monitor, and optimize AI token usage across mission workloads.
Analyze LLM architectures, tokenization, context windows, input/output pricing, prompt efficiency, and vector embeddings.
Evaluate AI tools, models, APIs, and platforms based on capability, cost, latency, scalability, and resource requirements.
Monitor commercial trends in LLM pricing, token consumption, cloud-based APIs, licensing, and enterprise AI.
Build cost models and spending forecasts to support decisions concerning AI software, cloud services, API infrastructure, and investments.
Analyze, write, and validate technical and acquisition requirements.
Review white papers, technical proposals, vendor submissions, and financial analyses.
Develop technical documentation, white papers, procedures, policies, and command-level guidance.
Advise leadership on model selection, prompt engineering, context-window management, token budgeting, and AI resource allocation.
Brief the CAIO, senior leaders, acquisition personnel, and technical stakeholders on findings and recommendations.