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Knowledge Graph Jobs in Chicago, IL (NOW HIRING)

Associated Bank - Corp

Knowledge Engineer

Chicago, IL · On-site

Develop enterprise semantic models, ontologies, taxonomies, and knowledge graph structures that create consistent business meaning across data domains. * Define and maintain enterprise business ...

VeeRteq Solutions Inc.

Semantic Data Modeler

Chicago, IL · On-site

$56.50 - $73.25/hr

Build and manage scalable knowledge graph solutions, including data ingestion, linking, and querying mechanisms. * Write, test, and document clean, maintainable code, and apply automation to testing ...

New

Swift Hire LLC

Semantic Data Modeler

Chicago, IL · On-site

$56.50 - $73.25/hr

Build and manage scalable knowledge graph solutions, including data ingestion, linking, and querying mechanisms. Write, test, and document clean, maintainable code, and apply automation to testing ...

Swift Hire LLC

Senior Semantic Web Engineer

Chicago, IL · On-site

$126K - $166K/yr

In this role, you will work on advanced knowledge graph technologies, combining expertise in semantic web engineering, data modeling, and cloud-based solutions. You will collaborate closely with a ...

PSRTEK

Senior Semantic Web Engineer (Hybrid)

Chicago, IL · On-site

$126K - $166K/yr

Build and manage scalable knowledge graph solutions, including data ingestion, linking, and querying mechanisms. * Write, test, and document clean, maintainable code, and apply automation to testing ...

Tror AI for everyone

Senior AI Developer

Mettawa, IL · On-site

$62.50 - $82.50/hr

Knowledge Graph Development: Design, develop, and maintain large-scale knowledge graphs using Neo4j to structure complex, multi-source enterprise data (both structured and unstructured). * GraphRAG ...

Tror AI for everyone

AI Developer

Mettawa, IL · On-site

$80/hr

Knowledge Graph Development: Design, develop, and maintain large-scale knowledge graphs using Neo4j to structure complex, multi-source enterprise data (both structured and unstructured). * GraphRAG ...

Cisco

Applied AI Scientist

Chicago, IL

Deep experience with graph representation learning, graph transformers (e.g., GCN/GAT/GraphSAGE), spatio-temporal GNNs, heterogeneous graphs (HGNN/Relational GNNs), and knowledge-graph-augmented ...

ServiceNow

Solution Architect - AI & Data

Chicago, IL

$65 - $85.50/hr

Advise on the strategic application of knowledge graph concepts, semantic technologies, and ontological frameworks (RDF, SPARQL) to enterprise data and AI use cases. * Shape data architecture ...

Cna

Senior Data AI Engineer

Chicago, IL · On-site

$109K - $148K/yr

Design and implement vector databases, embedding pipelines, and knowledge graph structures that serve as the foundational retrieval layer for RAG and other AI applications. * Productionize and ...

ServiceNow

Solution Architect - AI & Data

Chicago, IL · On-site +1

$65 - $85.50/hr

Advise on the strategic application of knowledge graph concepts, semantic technologies, and ontological frameworks (RDF, SPARQL) to enterprise data and AI use cases. * Shape data architecture ...

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How much do knowledge graph jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for knowledge graph in Chicago, IL is $31.97, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $26.73 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Knowledge Graph position, and why are they important?

To thrive as a Knowledge Graph Engineer, you need strong skills in semantic web technologies, ontology modeling, and data integration, typically supported by a background in computer science or data science. Familiarity with tools like RDF, SPARQL, OWL, and knowledge graph platforms (e.g., Neo4j, GraphDB) is common, and certifications in data engineering or semantic technologies are beneficial. Effective communication, problem-solving abilities, and cross-functional collaboration are valuable soft skills in this field. These competencies are crucial for designing, implementing, and maintaining knowledge graphs that enable advanced data discovery and insights for organizations.

Is ML a high paying job?

Machine Learning (ML) roles, including positions like ML engineer or data scientist, are generally well-paid due to the specialized skills required, such as programming, statistics, and knowledge of algorithms. Salaries tend to be higher than average in tech hubs and often increase with experience, certifications, and proficiency in tools like Python, TensorFlow, or PyTorch.

What is a knowledge graph job description?

A knowledge graph job description typically involves designing, developing, and maintaining knowledge graphs that organize and connect data for improved search, reasoning, and data integration. The role often requires skills in data modeling, graph databases like Neo4j, and understanding of semantic technologies such as RDF and OWL. Professionals in this field may work with data scientists, software engineers, and domain experts to ensure accurate and efficient knowledge representation.

What is a Knowledge Graph job?

A Knowledge Graph job typically involves designing, building, and maintaining structured representations of data that map relationships between entities. Professionals in this role work with technologies like RDF, SPARQL, ontologies, and graph databases to enhance data integration, retrieval, and reasoning. These jobs are common in AI, search, and data science fields, helping organizations improve knowledge discovery and decision-making.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI product executive, often requiring advanced skills in data science, programming, and deep learning. These roles usually involve leadership, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience and impact. Such salaries are rare and generally found in top tech companies or specialized AI firms.

What engineer makes $500,000 a year?

Senior data engineers or machine learning engineers working in high-demand industries such as technology, finance, or AI can earn salaries around $500,000 annually, especially with extensive experience, advanced skills in big data tools, and relevant certifications. Compensation varies based on location, company size, and individual expertise.

What are some typical daily responsibilities of a Knowledge Graph Engineer?

As a Knowledge Graph Engineer, your typical day involves designing and developing ontologies, integrating diverse data sources, and implementing graph-based data models to enhance information accessibility. You may work closely with data scientists, software developers, and business analysts to gather requirements and translate them into scalable knowledge graph solutions. Regular tasks include writing SPARQL queries, performing data mapping, maintaining documentation, and troubleshooting graph data issues. Collaboration and ongoing learning are integral as this field rapidly evolves with new tools and best practices.

What are the most commonly searched types of Knowledge Graph jobs in Chicago, IL? The most popular types of Knowledge Graph jobs in Chicago, IL are:
What are popular job titles related to Knowledge Graph jobs in Chicago, IL? For Knowledge Graph jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Knowledge Graph jobs in Chicago, IL look for? The top searched job categories for Knowledge Graph jobs in Chicago, IL are:
Knowledge Graph jobs near you
Infographic showing various Knowledge Graph job openings in Chicago, IL as of July 2026, with employment types broken down into 1% Locum Tenens, 65% Full Time, 29% Part Time, 3% Contract, and 2% Summer. Highlights an 62% Physical, 3% Hybrid, and 35% Remote job distribution, with an average salary of $66,496 per year, or $32 per hour.
Knowledge Graph Architect

Knowledge Graph Architect

E-Solutions, Inc.

Mettawa, IL • On-site

Other

Posted 18 days ago

Job description

Required Skills & Qualifications

Technical Skills

  • Strong experience with Knowledge Graph technologies:
    • Neo4j (preferred) or Amazon Neptune
  • Proficiency in:
    • Cypher / SPARQL / Gremlin
    • Graph data modeling and schema design
  • Experience with:
    • Data integration and pipeline design
    • Graph RAG or semantic search (good to have)
  • Familiarity with cloud platforms (AWS/Azure/Google Cloud Platform)

Functional & Domain Expertise

  • Deep understanding of Pharma Market Access domain
  • Ability to map business processes to data structures and graph models

Soft Skills

  • Strong ability to translate business requirements into technical solutions
  • Excellent communication and stakeholder management skills
  • Experience working in client-facing roles and cross-functional teams
  • Problem-solving mindset with attention to detail

Preferred Qualifications

  • Prior experience in pharmaceutical analytics or consulting
  • Exposure to AI/ML and Generative AI use cases (Graph RAG, knowledge-driven AI)
  • Experience defining enterprise ontologies or semantic layers
  • Certifications in cloud or data architecture are a plus

Knowledge Graph Architect2PHARMA,Neo4J,knowledge graphN/AC2C,W2United States

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