AI/LLM Engineer

Chantilly, VA

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**ACTIVE TS/SCI SECURITY CLEARANCE AND POLYGRAPH REQUIRED**

 

Position Overview:

D2 Consulting is seeking a highly skilled AI/LLM Engineer with an active TS/SCI clearance and CI polygraph to lead the design, deployment, and optimization of an on-premises Large Language Model (LLM) solution. This role involves architecting and implementing secure, scalable AI systems capable of ingesting, processing, and analyzing large datasets — including structured and unstructured data comprising millions of records.

You will work alongside cross-functional teams supporting critical missions within the Intelligence Community, applying cutting-edge AI/ML techniques to drive insights and decision-making in secure environments.

Key Responsibilities:

• Design and implement secure, on-premises LLM infrastructure and pipelines tailored to mission needs

• Evaluate, fine-tune, and deploy open-source or custom LLMs within air-gapped environments

• Develop and manage data pipelines for ingesting and processing structured and unstructured datasets at scale

• Apply NLP, ML, and data science techniques to extract insights from massive datasets (millions+ records)

• Collaborate with analysts, engineers, and mission stakeholders to shape AI capabilities around operational requirements

• Ensure compliance with security and data governance standards for classified environments

• Monitor model performance, implement updates, and optimize compute usage

Basic Qualifications:

• Active TS/SCI clearance with CI Polygraph

• 5+ years of experience in AI/ML engineering, data science, or software development

• Hands-on experience deploying or fine-tuning LLMs (e.g., LLaMA, Mistral, GPT-NeoX, BERT, etc.)

• Experience with on-prem or air-gapped AI/ML deployments, including containerized or GPU-based environments

• Strong proficiency in Python and common ML/NLP libraries (e.g., Hugging Face Transformers, PyTorch, LangChain)

• Experience working with large datasets (millions of records), including ETL and data transformation pipelines

• Solid understanding of system architecture, data privacy, and secure computing practices

Preferred Qualifications:

• Experience deploying quantized models for performance optimization (e.g., using llama.cpp, ggml, gguf)

• Familiarity with GPU server infrastructure (e.g., NVIDIA A100/RTX, CUDA) or multi-node compute setups

• Knowledge of cloud-to-on-prem transition architectures

• Background in supporting Intelligence Community or DoD missions

Why Join D2 Consulting?

As a Veteran-Owned Small Business, D2 Consulting delivers enterprise IT services to the U.S. Federal Government and Intelligence Community. We value innovation, agility, and mission alignment. You’ll work on cutting-edge challenges in secure environments that make a difference.

 

Additional Information

  • All your information will be kept confidential according to EEO guidelines.
  • Compensation is unique to each candidate and relative to the skills and experience they bring to the position. The salary range for this position is typically $200-240k. This does not guarantee a specific salary as compensation is based upon multiple factors such as education, experience, certifications, and other requirements, and may fall outside of the above-stated range.
  • Highlights of our benefits include Health/Dental/Vision, 401(k) match, Accrued PTO, STD/LTD/Life Insurance, Referral Bonuses, professional development reimbursement, and more!

Job applicants that are interested in one of our openings and may require a reasonable accommodation to participate in the job application or interview process, should contact us to request an accommodation.

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture BERT Consulting CUDA Data governance Data pipelines Engineering ETL GPT GPU LangChain LLaMA LLMs Machine Learning NLP Open Source Pipelines Privacy Python PyTorch Security Transformers Unstructured data

Perks/benefits: 401(k) matching Career development Health care

Region: North America
Country: United States

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