Technical SETA SME – Natural Language Processing

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.