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Graph Ai Engineer Jobs (NOW HIRING)

Genesis10

AI Engineer - Hybrid

Charlotte, NC · On-site

Genesis10 is currently seeking an AI Engineer for a hybrid position with a Global Financial ... Integrate agents with a DataHub-based graph context layer that provides governed business ...

AI Fund

AI Engineer

Mountain View, CA · On-site

They are looking for an AI Engineer to work in their Learning Experience Lab, where the role ... Database skills for relational, noSQL, graph, and vector databases. • Technical familiarity with ...

hireVouch

Manager AI Engineer - Python As a Manager Technology, you will lead and manage and hands on Python ... Design, architect and build scalable Gen AI solutions, including LLM pipelines, Agentic, MCP, Graph ...

Standard Template Labs

AI Engineer

New York, NY · On-site

$160K - $230K/yr

Backed by leading investors, we're leveraging AI, graph-based architecture, and exceptional design ... About the Role Our team is currently seeking AI Engineers that will design, build, and deploy ...

INFOSYS NOVA HOLDINGS LLC

Gen. AI Engineer

Fort Worth, TX · On-site

$100K - $160K/yr

This is a hands-on engineering role focused on building production-ready AI platforms from ... Design and develop enterprise Generative AI applications using LLMs, RAG, Graph RAG, and multi ...

Worky

Gen. AI Engineer

Fort Worth, TX · On-site

$100K - $137K/yr

This is a hands-on engineering role focused on building production-ready AI platforms from ... Design and develop enterprise Generative AI applications using LLMs, RAG, Graph RAG, and multi ...

Lynx Analytics

AI Engineer (US)

New York, NY · On-site

$114K - $157K/yr

We are investing in agentic AI and need a Senior AI Engineer to lead the design and delivery of ... Build robust RAG systems - including vector retrieval, graph traversal, and hybrid search - and ...

MasterCard

Senior AI Engineer

O Fallon, MO · Hybrid

$97K - $134K/yr

Build production-grade RAG and Graph-RAG systems integrating vector databases (Pinecone, pgvector ... Strong command of Gen AI engineering patterns: prompt engineering, chain-of-thought reasoning, tool ...

Oscar Technology

Agentic AI Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Senior Agentic AI Engineer (Hybrid - San Francisco) Location: San Francisco, CA Position Type ... Implement knowledge-graph-backed agent context (Neo4j) and specialized retrieval-augmented ...

New

Nastech Global

AI Engineer

Cupertino, CA · On-site

AI Engineer Location: Cupertino, CA (onsite) Job Type: Full time * Strong experience with Large ... Develop RAG systems, semantic layers, and knowledge graph integrations * Ensure code quality ...

CoreStory

AI Engineer

We're looking for an AI Engineer who is passionate about building intelligent systems that blend ... graph integration). * Build and manage data indexing and retrieval pipelines using LlamaIndex ...

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Senior AI Engineer

Dahlgren, VA • On-site

Technology Service Corporation
Guided Missile and Space Vehicle Manufacturing • 201 - 500 employees
Learn more about Technology Service Corporationexternal

$106K - $146K/yr

Other

Medical, Retirement, PTO

Re-posted 7 days ago

Job description

TSC is seeking a Senior Ontology Engineer in King George/Dahlgren, Virginia to support the Systems Engineering & Analysis Division (SEA). The role requires designing, developing, and maintaining ontological frameworks and knowledge graph solutions for defense mission engineering programs. The candidate must have the ability to obtain and maintain a SECRET DoD Clearance.

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’s adoption of AI technologies.
Required Qualifications
  • Bachelor’s degree or higher in Computer Science, Information Science, Knowledge Engineering, or a related discipline; or equivalent experience.
  • PhD with 2+ years of relevant experience, MA/MS with 5+ years, or BA/BS with 7+ years of experience.
  • 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.
  • U.S. Citizenship required.
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, guiding junior engineers and collaborating 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.
Job Details

Job Type: Regular. Schedule: Full time (40 hr/week). Travel: 0‑10%. Security Clearance: Secret (ability to obtain required).

Benefits

TSC offers a stable work environment, a competitive salary, and a comprehensive benefit package, including ESOP participation, a 401(k) plan, flexible work schedules, tuition reimbursement, co‑sponsored health plan, paid leave, and more.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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