AI Token Specialist - CLEARANCE and POLYGRAPH REQUIRED
Requirements at a glance
AI Token Specialist - CLEARANCE and POLYGRAPH REQUIRED at Cti Md is a role based in Columbia, MD. The posting asks for a bachelor's degree. It requires existing authorization to work, so sponsorship should not be expected. It lists a TS/SCI clearance with polygraph requirement. Key skills include Machine learning and Generative AI. Applications are submitted through Lever.
- Education
- Bachelor's degree
- Visa sponsorship
- Existing work authorization required
- Security clearance
- TS/SCI with polygraph
- Application platform
- Lever
Skills in this posting
- Machine learning
- Generative AI
- AWS
- Linux
Highlighted skills appear in the posting's requirements.
Extracted automatically from the job description. Confirm details in the full posting below.
LLM architectures, generative AI, token mechanics, context windows, token pricing, tokenization, vector embeddings, cloud-based AI APIs, and enterprise AI scaling.
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.