AI/LLM Engineer
Chantilly, VA
Full Time Mid-level / Intermediate Clearance required USD 122K - 227K * est.
D2 Consulting
**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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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
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