SCI)

Koniag Government Services, LLC•Alexandria, VA

13h•$160,000 - $180,000•Hybrid

About The Position

Tuknik Government Services (TGS), a Koniag Government Services company, is seeking a Senior AI/ML Technical Lead with an active TS/SCI clearance to support AI/ML initiatives at Fort Belvoir, VA. This is a hybrid position with the possibility of some remote work. This position is for a Future New Business Opportunity. This technical leader will drive architecture decisions, stakeholder engagement, verification framework integration, and operational transition of AI/ML and large language model (LLM) solutions in direct support of critical Army analytical operations.

Requirements

Bachelor's degree or higher in Computer Science, Engineering, Mathematics, Physics, or a relevant field.
Minimum of 7 years of professional experience, with at least 3 years specific to AI/ML development, deployment, or technical leadership.
Demonstrated experience with AI/ML solution architecture, Python, and machine learning frameworks (PyTorch, TensorFlow, or Scikit-learn).
Experience with large language models, prompt engineering, fine-tuning, or LLM integration (e.g., LangChain, Hugging Face, OpenAI APIs).
Experience with cloud platforms.
Proven ability to lead technical teams and drive AI/ML projects from concept through operational deployment.
Experience designing V&V frameworks for AI/ML models, including LLM evaluation and output validation, and executing operations handover into production environments.
Familiarity with the AO chain and the ATO process for deploying AI/ML systems in government environments.
Strong requirements-gathering skills with the ability to translate mission needs into technical solutions.
Excellent communication skills for diverse audiences, including senior military stakeholders.
Active TS/SCI Clearance

Nice To Haves

Prior experience with Army organizations, government agencies, or defense contractors.
Knowledge of Army analytical frameworks, modeling and simulation, or operations research.
Experience with RAG architectures, vector databases, and LLM orchestration frameworks.
Experience with containerization (Docker, Kubernetes), DevOps/MLOps practices, and version control (Git).

Responsibilities

Design and maintain end-to-end AI/ML solution architectures, including LLM-based systems and retrieval-augmented generation (RAG) pipelines, aligned with DoD and Army enterprise standards.
Develop and integrate verification and validation (V&V) frameworks to ensure model performance, reliability, and compliance.
Plan and execute the transition of AI/ML and LLM solutions into operational environments.
Lead and mentor AI/ML development teams while translating customer requirements into technical solutions.
Evaluate, fine-tune, and deploy large language models and generative AI capabilities for Army analytical use cases.
Leverage hybrid cloud platforms to implement data management and machine learning solutions.
Communicate findings to technical and non-technical audiences, including senior Army leadership.