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Llm Knowledge Graph Jobs (NOW HIRING)

Long Finch Technologies

IL · Hybrid

$53 - $70.25/hr

This role will focus on developing knowledge graphs, optimizing graph database environments, and ... Experience with Generative AI integration and LLM-based applications. * Experience building backend ...

Long Finch Technologies

Senior Graph Developer

Berkeley, IL · Hybrid

$53.75 - $71.25/hr

This role will focus on developing knowledge graphs, optimizing graph database environments, and ... Experience with Generative AI integration and LLM-based applications. * Experience building backend ...

Accenture

Knowledge Engineer / Semantic Expert for AI

Mountain View, CA · On-site

$114K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new ... Build Knowledge Graph solutions that transform clients' data architecture. * Design, develop, and ...

Accenture

Knowledge Engineer / Semantic Expert for AI

Seattle, WA · On-site

$111K - $152K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new ... Build Knowledge Graph solutions that transform clients' data architecture. * Design, develop, and ...

Accenture

Knowledge Engineer / Semantic Expert for AI

Milwaukee, WI · On-site

$96K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new ... Build Knowledge Graph solutions that transform clients' data architecture. * Design, develop, and ...

Accenture

Knowledge Engineer / Semantic Expert for AI

Cleveland, OH · On-site

$94K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new ... Build Knowledge Graph solutions that transform clients' data architecture. * Design, develop, and ...

Accenture

Knowledge Engineer / Semantic Expert for AI

Houston, TX · On-site

$93K - $127K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new ... Build Knowledge Graph solutions that transform clients' data architecture. * Design, develop, and ...

Accenture

Knowledge Engineer / Semantic Expert for AI

Pittsburgh, PA · On-site

$91K - $124K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new ... Build Knowledge Graph solutions that transform clients' data architecture. * Design, develop, and ...

Accenture

Knowledge Engineer / Semantic Expert for AI

Cleveland, OH · On-site

$94K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new ... Build Knowledge Graph solutions that transform clients' data architecture. * Design, develop, and ...

Accenture

Knowledge Engineer / Semantic Expert for AI

Seattle, WA · On-site

$111K - $152K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new ... Build Knowledge Graph solutions that transform clients' data architecture. * Design, develop, and ...

Accenture

Knowledge Engineer / Semantic Expert for AI

Milwaukee, WI · On-site

$96K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new ... Build Knowledge Graph solutions that transform clients' data architecture. * Design, develop, and ...

Accenture

Knowledge Engineer / Semantic Expert for AI

Houston, TX · On-site

$93K - $127K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new ... Build Knowledge Graph solutions that transform clients' data architecture. * Design, develop, and ...

Accenture

Knowledge Engineer / Semantic Expert for AI

Pittsburgh, PA · On-site

$91K - $124K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... LLM, and multi-modal models (with a focus on driving innovation by applying these techniques to new ... Build Knowledge Graph solutions that transform clients' data architecture. * Design, develop, and ...

TSC

Senior AI Engineer

Dahlgren, VA · On-site

$106K - $146K/yr

... graph-based AI and semantic solutions, including LLM-integrated pipelines, RAG architectures, and agentic workflows that leverage knowledge graph representations. • Collaborate with engineers ...

Coca-Cola

Lead Ontologist

Atlanta, GA

... Knowledge Graph (organizational, GraphRAG, Query/Traversal) patterns. * Hands-on experience integrating knowledge graphs with LLM orchestration and agent frameworks (e.g., LangChain, AutoGen ...

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All JobsLlm Knowledge Graph Jobs

Llm Knowledge Graph information

See salary details

$41K

$63.3K

$95.5K

How much do llm knowledge graph jobs pay per year?

As of Aug 12, 2026, the average yearly pay for llm knowledge graph in the United States is $63,311.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $69,500.00 per year, depending on experience, location, and employer.

What is the difference between Llm Knowledge Graph vs Data Scientist?

AspectLlm Knowledge GraphData Scientist
Required CredentialsKnowledge of NLP, graph databases, machine learningStatistics, programming, data analysis
Work EnvironmentResearch labs, AI companies, tech firmsCorporate, consulting, research institutions
Industry UsageAI, knowledge management, semantic webBusiness analytics, predictive modeling

While both roles involve data and machine learning, Llm Knowledge Graph specialists focus on building interconnected knowledge bases using NLP and graph technologies, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap in AI projects but serve different core functions within organizations.

More about Llm Knowledge Graph jobs
What cities are hiring for Llm Knowledge Graph jobs? Cities with the most Llm Knowledge Graph job openings:
What states have the most Llm Knowledge Graph jobs? States with the most job openings for Llm Knowledge Graph jobs include:
What job categories do people searching Llm Knowledge Graph jobs look for? The top searched job categories for Llm Knowledge Graph jobs are:
Llm Knowledge Graph jobs near you
Infographic showing various Llm Knowledge Graph job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $63,311 per year, or $30.4 per hour.

Senior Graph Developer

Long Finch Technologies

IL • Hybrid

$53 - $70.25/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking an experienced Senior Graph Developer to design, build, and scale enterprise-level graph database solutions. The ideal candidate will have extensive hands-on experience with Amazon Neptune, SPARQL/Gremlin, data engineering pipelines, and GraphRAG architectures. This role will focus on developing knowledge graphs, optimizing graph database environments, and integrating graph technologies with Generative AI solutions to improve contextual understanding and reduce AI hallucinations.

Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Information Architecture, or a related technical field.
  • 10+ years of professional experience in software engineering, data engineering, or graph technology development.
  • Extensive hands-on experience designing, implementing, and managing production-scale Amazon Neptune graph database environments.
  • Strong expertise in graph query languages such as SPARQL and/or Gremlin.
  • Strong experience designing and developing data engineering and ETL pipelines.
  • Practical experience implementing GraphRAG solutions and integrating knowledge graphs with AI/ML workflows.
  • Advanced programming experience in Python or JVM-based languages such as Java or Scala.
  • Strong understanding of AWS cloud services, including:
    • Amazon Neptune
    • AWS S3
    • Amazon RDS
    • Amazon ECS
  • Experience designing enterprise ontologies, taxonomies, and graph schemas.
Preferred Qualifications
  • Experience with Generative AI integration and LLM-based applications.
  • Experience building backend APIs and services.
  • Experience integrating graph databases with vector databases and hybrid search architectures.
  • Strong understanding of knowledge graph modeling and semantic technologies.
  • Experience working with large-scale distributed systems.
Key Responsibilities
  • Design and develop enterprise ontologies, taxonomies, and graph schemas representing complex business domains.
  • Architect, configure, monitor, and scale Amazon Neptune environments capable of handling billions of relationships.
  • Develop and optimize graph data models, queries, and performance tuning strategies using SPARQL and/or Gremlin.
  • Build and maintain data ingestion frameworks and ETL pipelines for graph-based applications.
  • Integrate knowledge graphs into GraphRAG pipelines to improve AI response accuracy, contextual grounding, and reduce hallucinations.
  • Partner with AI/ML teams to implement hybrid search solutions combining graph traversal capabilities with vector database technologies.
  • Develop scalable backend services and APIs supporting graph-powered applications.
  • Collaborate with architecture, engineering, and business teams to translate complex requirements into scalable graph solutions.
  • Ensure reliability, security, and performance of graph database infrastructure.

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