AI Token Engineer/ Specialist

Parsons•Columbia, SC

About The Position

Parsons is seeking an AI Token Specialist to support the U.S. Cyber Command Chief Artificial Intelligence Officer. The position provides technical expertise in large language models, generative AI, token economics, AI resource management, and enterprise AI operations. It develops strategies, cost models, requirements, technical documentation, and operational guidance to optimize token usage and inform AI budgeting, licensing, procurement, and infrastructure decisions. The role evaluates AI tools, models, APIs, and platforms; develops cost models and forecasts; analyzes and validates technical and acquisition requirements; and creates technical documentation and command-level guidance. It also advises and briefs leadership, acquisition personnel, and technical stakeholders on AI model selection, prompt engineering, context-window management, token budgeting, and resource allocation. The position is part of Parsons’ Federal Solutions team, which supports U.S. government customers and missions in defense, security, intelligence, infrastructure, and environmental services. An active Top Secret SCI with Polygraph clearance is required.

Requirements

Bachelor’s degree in Computer Science or a related technical field and 10+ years of related professional experience; additional years of experience may substitute for the 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.
Active TS SCI with Polygraph clearance required.

Nice To Haves

16 years of experience with a high school diploma; 12 years with a bachelor’s degree; or 10 years with a master’s degree from an accredited institution in Systems Engineering, Computer Science, Information Systems, Engineering Science, Engineering Management, or a related discipline.

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 for AI software, cloud services, API infrastructure, and investment decisions.
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.