Artificial Intelligence Engineer (Multiple Levels)

Noblis•McLean, VA

2d•Onsite

About The Position

Noblis is seeking an Artificial Intelligence (AI) Engineer to work in a dynamic mission-oriented environment within McLean, Virginia. As an AI Engineer, you will work with mission users to understand requirements, and partner with data engineers to transform complex datasets into actionable insights, automate analyst workflows, and deliver scalable, reliable AI capabilities aligned with mission objectives. This role involves designing, developing, and deploying production-grade AI solutions, including large language models (LLMs), natural language processing (NLP), computer vision, and agentic AI applications, within secure, classified environments. You will also be responsible for building and maintaining automated machine learning (ML) pipelines, conducting performance benchmarking, and ensuring compliance with security protocols.

Requirements

Experience designing, building, and deploying production AI solutions supporting mission operations.
Experience developing large language models (LLM), natural language processing (NLP), computer vision, and agentic AI applications, and integrating them into secure environments using Python and automated machine learning (ML) pipelines.
Experience with prompt engineering, Retrieval-Augmented Generation (RAG), fine-tuning, model evaluation, A/B testing, and production monitoring.
US Citizenship is required.
Active Top Secret/SCI clearance with Polygraph.

Nice To Haves

Prior experience working within the counterterrorism mission area.
Prior experience working within the Office of the Director of National Intelligence (ODNI).
Prior experience working with an intelligence community department or agency.

Responsibilities

Collaborate directly with mission users and stakeholders to elicit, analyze, and translate operational requirements into well-defined AI/ML solution designs that address mission-critical objectives.
Design, develop, and deploy production-grade AI solutions—including large language models (LLMs), natural language processing (NLP), computer vision, and agentic AI applications—within secure, classified environments.
Partner with data engineers to ingest, transform, and curate complex datasets, ensuring data quality and readiness for model training, evaluation, and inference.
Build and maintain automated machine learning (ML) pipelines using Python, incorporating prompt engineering, Retrieval-Augmented Generation (RAG), fine-tuning, and model evaluation to accelerate delivery of AI capabilities.
Conduct A/B testing, performance benchmarking, and production monitoring of deployed models to ensure reliability, accuracy, and continuous improvement over time.
Automate analyst workflows by integrating AI-driven tools and capabilities into existing mission systems, reducing manual effort and enabling faster, data-informed decision-making.
Ensure all AI solutions comply with security protocols, accreditation requirements, and intelligence community standards for operating within sensitive and classified environments.
Communicate technical findings, model performance metrics, and solution recommendations to both technical teams and non-technical mission stakeholders through clear documentation and briefings.