Graduate Fellow - AI & Knowledge Mgt.
Savannah River National Laboratory•Aiken, SC
•Onsite
About The Position
Savannah River National Laboratory is seeking a highly motivated graduate fellow to advance our AI-driven knowledge management capabilities. This fellowship is focused on building next-generation systems for intelligent information retrieval, knowledge graph construction, and multi-agent AI workflows that support complex scientific workflows. The successful candidate will bring graduate-level research experience in large language models, retrieval-augmented generation (RAG), or knowledge representation, and a passion for applying these techniques to real-world challenges across scientific and engineering domains.
Requirements
- Recent graduate (M.S. or Ph.D.) in Computer Science, Data Science, Information Science, or other scientific and engineering disciplines
- Strong proficiency in Python, including experience with AI/ML libraries such as PyTorch, Hugging Face Transformers, or LangChain
- Foundational understanding of large language models, prompt engineering, and retrieval-augmented generation (RAG)
- Experience with or coursework in natural language processing (NLP) or knowledge representation
- Ability to clearly document and communicate technical research, including writing reports and presenting findings
Nice To Haves
- Research experience or publications related to LLMs, knowledge graphs, information retrieval, or multi-agent systems
- Hands-on experience building end-to-end RAG pipelines or agentic AI workflows
- Familiarity with knowledge graph construction, ontology design, or semantic web technologies (RDF, SPARQL, OWL)
- Experience with vector databases or embedding-based search systems
- Background in a scientific or national security domain (e.g., environmental science, bioengineering, chemistry) is a plus
- Experience working in a research or government laboratory environment
Responsibilities
- Design and implement knowledge management pipelines using large language models (LLMs), retrieval-augmented generation (RAG), and vector databases to enable intelligent information retrieval across large, multi-modal document corpora
- Develop and evaluate multi-agent AI architectures for automated reasoning, summarization, and decision support
- Build and maintain knowledge graphs and ontologies to represent complex domain relationships and support semantic search
- Collaborate with cross-functional research teams to integrate AI knowledge tools into existing scientific workflows and applications
- Author technical documentation, scientific journal articles, and internal reports communicating methods and findings to both technical and non-technical audiences
- Participate in code reviews and contribute to a shared, well-maintained research codebase
- Monitor and evaluate emerging developments in LLMs, agentic AI, and knowledge management frameworks, and assess their applicability to ongoing projects
Benefits
- Highly competitive Medical, Dental, and Vision options including HSA options with company provided seed
- Short- & Long-Term Disability (company paid)
- Life Insurance Non-Contributary 1X salary (company paid)
- AD&D Non-contributary 1x salary (company paid)
- Savings & Investment plan: Qualified Non-Elective Company Contribution of 5% each pay period with immediate vesting
- Company match 50 cents/dollar up to 8% (5 yrs. vesting in company match)
- Contributory Life Insurance up to 5x Salary with $1M Cap
- Contributory AD&D (employee, spouse and children)
- Paid Time Off
- Employee Assistance Plan
- Competitive relocation package
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
