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Knowledge Graph Jobs in Chicago, IL (NOW HIRING)

AI Engineer

Chicago, IL · Remote

$200K/yr

Develop robust prompt strategies, vector database implementations, and knowledge graph architectures ensuring reliable model behavior * Build comprehensive testing frameworks, observability tooling ...

AI Engineer

Chicago, IL · Remote

$200K/yr

Develop robust prompt strategies, vector database implementations, and knowledge graph architectures ensuring reliable model behavior * Build comprehensive testing frameworks, observability tooling ...

AI Engineer

Chicago, IL · Remote

$200K/yr

Develop robust prompt strategies, vector database implementations, and knowledge graph architectures ensuring reliable model behavior * Build comprehensive testing frameworks, observability tooling ...

AI Engineer

Chicago, IL · Remote

$200K/yr

Develop robust prompt strategies, vector database implementations, and knowledge graph architectures ensuring reliable model behavior * Build comprehensive testing frameworks, observability tooling ...

AI Engineer

Chicago, IL · Remote

$200K/yr

Develop robust prompt strategies, vector database implementations, and knowledge graph architectures ensuring reliable model behavior * Build comprehensive testing frameworks, observability tooling ...

AI Engineer

Chicago, IL · Remote

$200K/yr

Develop robust prompt strategies, vector database implementations, and knowledge graph architectures ensuring reliable model behavior * Build comprehensive testing frameworks, observability tooling ...

Experience with vector databases and graph technologies, and their application in modern AI/ML and knowledge-graph use cases. * Define, refine, and communicate the organization's AI and innovation ...

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Showing results 1-20

Knowledge Graph information

See Chicago, IL salary details

$9

$31

$123

How much do knowledge graph jobs pay per hour?

As of May 28, 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 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 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.

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:
Infographic showing various Knowledge Graph job openings in Chicago, IL as of May 2026, with employment types broken down into 2% Internship, 76% Full Time, 9% Part Time, 11% Contract, and 2% Nights. Highlights an 74% In-person, 2% Hybrid, and 24% Remote job distribution, with an average salary of $66,496 per year, or $32 per hour.

AI Engineer

CFS

Chicago, IL • Remote

$200K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago


Job description

AI Engineer | Permanent | No Sponsorship Available | Remote

BENEFITS & COMPENSATION

  • Compensation: Up to $200,000 per year + 8% annual bonus target
  • Work Environment: Remote
  • PTO: Unlimited
  • Retirement: 401K w/ a match
  • Medical: Health, vision, and dental plans available for individuals and families

AI ENGINEER
JOB RESPONSIBILITIES

  • Partner with stakeholders to identify high-impact opportunities where AI can drive efficiency, growth, and competitive advantage
  • Design and deploy sophisticated LLM-based agent systems, reasoning workflows, and tool-integrated pipelines (RAG, chain-of-thought, planning-execution patterns)
  • Architect and maintain production-grade APIs supporting real-time and asynchronous agent operations, including Model Context Protocol (MCP) integration
  • Develop robust prompt strategies, vector database implementations, and knowledge graph architectures ensuring reliable model behavior
  • Build comprehensive testing frameworks, observability tooling, and diagnostic systems for agent execution and performance monitoring
  • Manage the complete AI model lifecycle—integration, deployment, fine-tuning, and production monitoring with logging and recovery mechanisms
  • Establish AI governance standards addressing compliance, security, responsible AI, and ethical considerations
  • Champion AI adoption across the organization; define success metrics, track progress, and drive organizational alignment
  • Collaborate with frontend teams to build intuitive user interfaces and seamless AI system integration using React and TypeScript

AI ENGINEER
QUALIFICATIONS

  • 10+ years of software development and systems architecture experience
  • 3+ years of hands-on experience designing and implementing AI-driven solutions with production AI tools
  • 3+ years of specialized expertise with Large Language Models, Generative AI, NLP, and machine learning fundamentals
  • Practical experience with deep learning frameworks, RAG architectures, vector databases, and agent-based frameworks
  • Working knowledge of cloud-native AI services and deployment patterns

Build a rewarding long-term career with us at CFS—when we knock, doors open.
Timing is everything. Whether you are aggressively in a job search or simply passive and looking for the ideal position, we would like to have the chance to share our opportunities with you. We specialize in placement of IT professionals. Please contact me for more information about this role as well as other opportunities.

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