Technical SETA SME – Natural Language Processing

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

·       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.

·       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.

·       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.