National Security Solutions (NSS) - Generative AI Intern

KBR • Beavercreek Township, OH

1d

About The Position

To advance the organization’s capabilities in Generative AI through hands-on research, experimentation, and development of prototype solutions that leverage large language models, multimodal AI systems, and data engineering techniques. The intern will join the AI R&D team to assist in generative AI experimentation and development. This project will focus on identifying promising AI techniques, improving model performance through better data and evaluation methods, and building small-scale prototypes to demonstrate new capabilities.

Requirements

• Currently enrolled in a college/university pursuing a Bachelor's level degree.
• Strong analytical and problem-solving skills to drive analytic insights and/or workflow automation.
• Expected to have data wrangling skills.
• Proficiency in programming languages like Python or R.
• Familiarity with Retrieval Augmented Generation (RAG) architectures and Large Language Models (LLM).

Nice To Haves

• Full-time rising senior or graduate student.
• Designing and developing AI agents, implementing agentic workflows.
• Agentic AI frameworks such as LangGraph and standards such as Model Context Protocol (MCP).
• Text mining and Natural Language Processing techniques such as Named Entity Recognition and Text Classification.
• Graph Analysis tools such as Neo4J and Cypher.
• Databricks, Azure AI Foundry, Amazon Bedrock, Amazon SageMaker.
• Process Automation, Image Analysis, Predictive and Prescriptive analysis.
• Understanding of applied machine learning methods and algorithms.
• Exploratory Data Analysis and Workflow Improvement.
• Data-oriented personality with proficiency in using data query languages such as SQL and ability to understand various data structures and common methods in data transformation.

Responsibilities

• Conduct literature reviews on emerging generative AI research and tools.
• Annotate and curate datasets for model training and fine-tuning.
• Evaluate and document model outputs for quality, accuracy, and bias.
• Develop or refine data pipelines for automated testing and model evaluation.
• Contribute to prototype development and internal demos.
• Present findings and recommendations to the AI R&D team.

What This Job Offers

• Career Level: Intern