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.