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Knowledge Graph Engineer Jobs (NOW HIRING)

$102.72 - $171.19/hr

Evaluiere und setze Knowledge Graph Plattformen (z. B. Stardog, GraphDB, Metaphacts, Altair/AnzoGraph, Neo4j) gekonnt ein und modelliere Ontologien. * Du baust, wartest und verifizierst Ontologien ...

Graph Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

The graph data engineer is responsible for developing and enhancing Jefferies knowledge graph to empower several applications in the firm. You will work in close collaboration with software engineers ...

Graph Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

The graph data engineer is responsible for developing and enhancing Jefferies knowledge graph to empower several applications in the firm. You will work in close collaboration with software engineers ...

Showing results 41-60

Knowledge Graph Engineer information

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$33K

$89.2K

$142K

How much do knowledge graph engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for knowledge graph engineer in the United States is $89,183.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $109,000.00 per year, depending on experience, location, and employer.

What cities are hiring for Knowledge Graph Engineer jobs?

Cities with the most Knowledge Graph Engineer job openings:

What states have the most Knowledge Graph Engineer jobs?

States with the most job openings for Knowledge Graph Engineer jobs include:

Infographic showing various Knowledge Graph Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $89,183 per year, or $42.9 per hour.

Principal GenAI Engineer - Knowledge Graph & Semantic Systems

SWITS DIGITAL Private Limited

New York, NY • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Role: Principal GenAI Engineer - Knowledge Graph & Semantic Systems
Location: Onsite - NYC
Job Type: Full-Time
About the Role
We are hiring a Principal GenAI Engineer with strong expertise in LLMs and Knowledge Graphs to lead enterprise-scale AI implementations for Fortune 500 clients. This role focuses on building Graph-powered RAG systems (Graph-RAG) that combine structured semantic reasoning with advanced LLM architectures to deliver scalable, explainable, production-grade AI solutions.
What We're Looking For
  • 14+ years of experience in ML/AI systems
  • 2+ years hands-on experience with LLMs (RAG, agents, prompt engineering)
  • 5+ years of production experience working with Knowledge Graphs
  • Strong proficiency in Python, LangChain/LangGraph, and SQL
  • Experience deploying GenAI systems on AWS / Azure / GCP

Mandatory Knowledge Graph Expertise
  • Design and scale enterprise Knowledge Graph architectures
  • Develop ontologies, taxonomies, and semantic data models
  • Implement entity resolution, relationship extraction, and graph enrichment
  • Experience with Neo4j, Amazon Neptune, or similar graph databases
  • Strong hands-on experience with Cypher (or similar graph query languages)
  • Build hybrid retrieval systems combining Knowledge Graphs + vector databases
  • Integrate structured graph reasoning with LLMs to reduce hallucination and improve explainability