Senior AI Engineer

About the role

This position supports the Systems Engineering & Analysis Division (SEA). Ability to obtain and maintain a SECRET DoD Clearance. TSC offers a professional working environment, a competitive salary, and an excellent benefits package.

Responsibilities

• Design, develop, and maintain formal ontologies using OWL, RDF/RDFS, and SPARQL aligned with DoD mission engineering requirements and semantic interoperability standards.
• Build and deploy knowledge graph solutions that integrate structured and unstructured data sources across heterogeneous, multi-domain defense systems.
• Apply and extend upper-level ontology frameworks, ensuring alignment with DoD and IC data standards.
• Design and implement graph-based AI and semantic solutions, including LLM-integrated pipelines, RAG architectures, and agentic workflows that leverage knowledge graph representations.
• Collaborate with engineers, systems architects, and mission-domain SMEs to translate operational requirements into actionable ontological models and knowledge architectures.
• Support semantic integration and data interoperability efforts across legacy and modern system architectures, including graph database deployments (e.g., Stardog, Neptune, Neo4j).
• Lead the development and writing of technical approaches for proposals related to supporting the Navy adopt AI technologies.

Required Qualifications

• Bachelor’s degree or higher in Computer Science, Information Science, Knowledge Engineering, or a related discipline; equivalent experience considered
• PhD with 2+ years of relevant experience, MA/MS with 5+ years of relevant experience, or BA/BS with 7+ years
• Hands-on experience with knowledge graph technologies including RDF, SPARQL, SHACL, and OWL for DoD or enterprise use cases
• Experience with schema design, ontology management, and knowledge graph curation
• Experience designing and developing end-to-end knowledge graph and AI data pipelines, including integration with LLMs or similar models
• Familiarity with graph database platforms such as Stardog, Blazegraph, Neo4j, or Amazon Neptune
• Ability to obtain and maintain a SECRET DoD Clearance

Preferred Qualifications

• Experience with U.S. Navy Combat Systems
• 2+ years of hands-on Python experience, including frameworks such as TensorFlow, PyTorch, rdflib, or owlready2, and ETL pipeline tools (e.g., Apache NiFi, Airflow)
• Experience with full-stack web development, including REST API design and development (e.g., FastAPI, Flask, or Node.js), front-end frameworks (e.g., React or Angular), and containerization/deployment tooling (e.g., Docker, Kubernetes)
• Practical experience with NLP, semantic search, prompt engineering, and LLMs for enterprise-scale knowledge graph applications including RAG architectures; experience with agentic AI systems and multi-modal model integration applied to knowledge engineering problems
• Demonstrated team leadership experience, with the ability to guide junior engineers and collaborate across engineering, research, and program management teams
• PhD in Computer Science, Knowledge Engineering, Mathematics, or a related field, or a publication record in semantic web and knowledge representation

Benefits

• ESOP participation
• 401k Plan
• Flexible Work Schedules
• Tuition Reimbursement
• Co-Sponsored Health Plan
• Paid Leave