Technical SETA SME – Natural Language Processing

Triaem Llc; Arlington (VA); On-site; USD 140,000 - 190,000; Full time

Job summary

Triaem Llc seeks a Technical SETA SME – NLP to support mission-scale language systems, data pipelines, model evaluation, AI governance, and program planning from Arlington, VA. You will translate complex technical information into actionable recommendations for R&D stakeholders and help coordinate cross-disciplinary activities.

Required is an active TS/SCI clearance with a polygraph, a strong background in NLP/AI (including LLMs), and 8+ years in relevant fields.

Qualifications

• Active TS/SCI clearance with a polygraph.
• Bachelor’s degree in physics, mathematics, computer science, or related field.
• 8+ years of work experience in listed science/technical fields.
• Systems engineering and integration in data-intensive environments.
• Knowledge of AI/ML including NLP, CV, predictive analytics, and LLMs.
• Demonstrated NLP methods: text classification, NER, topic modeling, IE, or transformer architectures.
• Experience building/evaluating NLP pipelines: preprocessing, tokenization, training, fine-tuning, optimization.
• Understanding of data architectures/pipelines for large-scale analytics.
• Familiarity with AI governance, data quality, bias mitigation, and mission assurance.
• Experience creating program plans, WBS, and milestones.

Responsibilities

• Provide technical SETA/SME support for the specialty area and evaluate approaches, risks, progress, and results.
• Translate complex technical information into actionable recommendations for R&D stakeholders.
• Support program planning, technical assessment, milestone tracking, and cross-disciplinary coordination.
• Prepare to communicate technical work during evaluations, including a short technical seminar.

Skills

NLP/AI SME

Program planning

Technical assessment

Cross-disciplinary coordination

Education

Bachelor's degree in physics, mathematics, CS or related field

Master’s or PhD in related field (nice to have)

Tools

Hugging Face

PyTorch

TensorFlow

spaCy

Job description

Technical SETA SME – Natural Language Processing

Position Overview

Senior NLP/AI technical SETA SME supporting mission-scale language systems, data pipelines, model development/evaluation, AI governance, and program planning.

What You’ll Do

• Provide technical SETA/SME support aligned to the specialty area and evaluate technical approaches, risks, progress, and results.
• Translate complex technical information into actionable recommendations and program artifacts for R&D stakeholders.
• Support program planning, technical assessment, milestone tracking, and cross-disciplinary coordination where required by the role.
• Prepare to communicate technical work clearly during Guidehouse/customer evaluation, including a short technical seminar.

Required Qualifications — Customer/Source Controlled

• ACTIVE and MAINTAINED TS/SCI Federal or DoD security clearance with a polygraph.
• Bachelor’s degree in physics, mathematics, computer science, or relevant electrical/computer/systems/software engineering field.
• EIGHT (8)+ years of work experience in the listed science/technical fields.
• Systems engineering and integration experience in complex, data-intensive environments.
• Knowledge of AI/ML including computer vision, NLP, predictive analytics, and LLMs.
• Demonstrated NLP methods: text classification, named-entity recognition, topic modeling, information extraction, or transformer-based architectures.
• Experience developing/evaluating NLP pipelines: preprocessing, tokenization, model training, fine-tuning, and optimization for mission environments.
• Understanding of data architectures/pipelines for large-scale analytics/intelligence production.
• Familiarity with AI governance, data quality, bias mitigation, and mission assurance in operational NLP/LLM deployments.
• Experience creating program plans, work breakdown structures, and milestone schedules.

Desired / Nice to Have

• Master’s or PhD in listed/relevant field with FOUR (4)+ years work experience.
• IC experience including requirements, CONOPS, and transition.
• Experience managing multidisciplinary R&D or T&E teams.
• Experience as PM or Deputy PM.
• Hugging Face, PyTorch, TensorFlow, spaCy, or similar NLP frameworks.
• Ability to proactively manage multiple concurrent tasks.
• Excellent writing, slide development, and editing for technical/non-technical audiences.
• Strong organization, problem-solving, time management, and attention to detail.