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Contract Knowledge Graph Jobs in Chicago, IL (NOW HIRING)

... contract standards and data quality frameworks across pipeline outputs โ€ข Leverage Snowflake ... Knowledge graph platforms (Neo4j, Neptune) or knowledge of OWL, RDF and exposure to and build of ...

Embed data contract standards and data quality frameworks across pipeline outputs Agentic AI & AI ... Knowledge graph platforms (Neo4j, Neptune) or knowledge of OWL, RDF and exposure to and build of ...

Embed data contract standards and data quality frameworks across pipeline outputs Agentic AI & AI ... Knowledge graph platforms (Neo4j, Neptune) or knowledge of OWL, RDF and exposure to and build of ...

Embed data contract standards and data quality frameworks across pipeline outputs Agentic AI & AI ... Knowledge graph platforms (Neo4j, Neptune) or knowledge of OWL, RDF and exposure to and build of ...

... contract standards and data quality frameworks across pipeline outputs โ€ข Leverage Snowflake ... Knowledge graph platforms (Neo4j, Neptune) or knowledge of OWL, RDF and exposure to and build of ...

Discrete Math Tutor

Oak Lawn, IL ยท Remote

$18 - $40/hr

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Discrete Math Tutor

Naperville, IL ยท Remote

$18 - $40/hr

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Discrete Math Tutor

Evanston, IL ยท Remote

$18 - $40/hr

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Discrete Math Tutor

Schaumburg, IL ยท Remote

$18 - $40/hr

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Discrete Math Tutor

Chicago, IL ยท Remote

$18 - $40/hr

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Discrete Math Tutor

Des Plaines, IL ยท Remote

$18 - $40/hr

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Discrete Math Tutor

Highland Park, IL ยท Remote

$18 - $40/hr

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Discrete Math Tutor

Buffalo Grove, IL ยท Remote

$18 - $40/hr

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Discrete Math Tutor

Lake Forest, IL ยท Remote

$18 - $40/hr

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

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Contract Knowledge Graph information

See Chicago, IL salary details

$9

$31

$123

How much do contract knowledge graph jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for contract 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.

How does a Contract Knowledge Graph specialist typically collaborate with legal and IT teams during implementation projects?

A Contract Knowledge Graph specialist often works closely with legal teams to understand contract structures, key clauses, and compliance requirements, ensuring that the graph accurately represents legal relationships and obligations. Simultaneously, they partner with IT and data teams to integrate data sources, design the graph schema, and implement technical solutions. Effective collaboration requires clear communication, regular meetings, and the ability to translate legal concepts into technical requirements, which helps ensure the knowledge graph delivers actionable insights for both legal and business stakeholders.

What are the key skills and qualifications needed to thrive as a Contract Knowledge Graph Specialist, and why are they important?

To excel as a Contract Knowledge Graph Specialist, you need expertise in semantic data modeling, contract analysis, and a background in computer science or information management. Familiarity with tools like Neo4j, RDF, SPARQL, and experience with natural language processing (NLP) solutions are typically required. Strong analytical thinking, attention to detail, and effective communication skills help translate complex contract terms into structured, actionable data. These competencies ensure accurate, scalable contract data representation, enabling better compliance, searchability, and automation for organizations.

What is the difference between Contract Knowledge Graph vs Contract Analyst?

AspectContract Knowledge GraphContract Analyst
Required CredentialsTypically a background in data science, knowledge graphs, or related fieldsUsually a degree in law, business, or finance
Work EnvironmentData-driven, often in tech or AI-focused teamsLegal, finance, or corporate departments
Employer & Industry UsageTech companies, AI firms, legal techCorporations, law firms, government agencies
Common Search & Comparison IntentUnderstanding data modeling and AI applications in contractsAnalyzing contract terms and compliance

The Contract Knowledge Graph focuses on creating structured, interconnected data models for contracts using AI and data science skills. In contrast, a Contract Analyst primarily reviews, interprets, and manages contract data within legal or business contexts. While both roles deal with contracts, the Knowledge Graph role emphasizes data structuring and AI, whereas the Analyst role centers on contract review and analysis.

What is a Contract Knowledge Graph?

A Contract Knowledge Graph is a structured representation of the information and relationships found within contracts. It uses graph technology to map entities such as parties, clauses, obligations, and deadlines, and the connections between them. This makes it easier to search, analyze, and visualize contractual data, enabling more efficient compliance checks, risk assessments, and contract lifecycle management. Organizations use contract knowledge graphs to gain better insights, automate contract analysis, and improve decision-making processes.
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 Contract Knowledge Graph jobs in Chicago, IL? For Contract Knowledge Graph jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Contract Knowledge Graph jobs in Chicago, IL look for? The top searched job categories for Contract Knowledge Graph jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Contract Knowledge Graph jobs? Cities near Chicago, IL with the most Contract Knowledge Graph job openings:

Senior AI Developer - Mettawa, IL (Onsite)

Tror AI for everyone

Mettawa, IL โ€ข On-site

$62.50 - $82.50/hr

Contractor

Posted 16 days ago


Job description

Role: Senior AI Developer

Location: Mettawa, IL (Onsite)

Duration: Long Term Contract

Experience: 12 - 15 Years

This role requires deep expertise in AI/ML, Neo4j, GraphRAG and GenAI.

Job Description: ย 

Design, build, and deploy cutting-edge AI solutions that leverage the power of knowledge graphs and generative models. You will be instrumental in developing high-impact applications, with a specific focus on implementing Graph Retrieval-Augmented Generation (GraphRAG)ย systems to provide accurate, contextually enriched, and trustworthy AI outputs grounded in enterprise data.

ย Key Responsibilities

  • Architect and Implement AI Systems:ย Lead the design and development of end-to-end GenAI solutions, including RAG pipelines and AI agents, from idea to production deployment.
  • Knowledge Graph Development:ย Design, develop, and maintain large-scale knowledge graphs using Neo4jย to structure complex, multi-source enterprise data (both structured and unstructured).
  • GraphRAG Implementation:ย Build sophisticated GraphRAG pipelines that integrate vector databases and knowledge graphs to ground AI responses in factual, verifiable information and mitigate hallucinations.
  • Model Integration and Optimization:ย Collaborate with data scientists and ML engineers to prepare data and infrastructure for fine-tuning open-source or proprietary Large Language Models (LLMs) and optimizing them for performance and efficiency.
  • Data Pipeline Development:ย Set up scalable data pipelines for data ingestion, embedding generation, preprocessing, and continuous model training/retraining.
  • Technical Leadership & Collaboration:ย Partner with cross-functional teams (e.g., data engineers, product managers, business stakeholders) to translate complex business needs into robust, scalable AI architectures and provide technical guidance to junior developers.
  • Innovation & Best Practices:ย Stay current with the latest advancements in GenAI, graph databases, and MLOps, advocating for and implementing best practices in CI/CD, testing, and responsible AI.ย 

ย 

Required Skills & Qualifications

  • Experience:ย 12+ years of experience in software development or AI engineering, with a strong portfolio of production-ready AI projects.
  • Programming Proficiency:ย Expert-level proficiency in Python and related AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, LlamaIndex).
  • Graph Database Expertise:ย Strong hands-on experience with graph databases, especially Neo4j, including data modeling, Cypher query language, and graph algorithms.
  • GenAI & RAG Knowledge:ย Deep understanding and practical experience with GenAI concepts, LLMs, prompt engineering, embeddings, and building RAG systems.
  • Cloud & Infrastructure:ย Experience in deploying and optimizing models in cloud environments (GCP) and managing project infrastructure.
  • Problem-Solving:ย Excellent analytical and problem-solving skills, with the ability to tackle complex, novel challenges in AI development.
  • Education:ย Bachelor's or masterโ€™s degree in computer science, Data Science, Engineering, or a related technical field.ย