This role focuses on enabling semantic interoperability, knowledge graph integration, and standards ... Contract Work Arrangement: Onsite Visa Sponsorship: No visa sponsorship available. Relocation ...
Quick apply
This role focuses on enabling semantic interoperability, knowledge graph integration, and standards ... Contract Work Arrangement: Onsite Visa Sponsorship: No visa sponsorship available. Relocation ...
Support semantic data virtualization and knowledge graph initiatives. Ensure alignment between ... Contract Work Arrangement: Onsite Visa Sponsorship: No visa sponsorship available. Relocation ...
Quick apply
Support semantic data virtualization and knowledge graph initiatives. Ensure alignment between ... Contract Work Arrangement: Onsite Visa Sponsorship: No visa sponsorship available. Relocation ...
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Contract Knowledge Graph information
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?
| Aspect | Contract Knowledge Graph | Contract Analyst |
|---|---|---|
| Required Credentials | Typically a background in data science, knowledge graphs, or related fields | Usually a degree in law, business, or finance |
| Work Environment | Data-driven, often in tech or AI-focused teams | Legal, finance, or corporate departments |
| Employer & Industry Usage | Tech companies, AI firms, legal tech | Corporations, law firms, government agencies |
| Common Search & Comparison Intent | Understanding data modeling and AI applications in contracts | Analyzing 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 Tennessee? The most popular types of Knowledge Graph jobs in Tennessee are:
What are popular job titles related to Contract Knowledge Graph jobs in Tennessee? For Contract Knowledge Graph jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Contract Knowledge Graph jobs in Tennessee look for? The top searched job categories for Contract Knowledge Graph jobs in Tennessee are:
Semantic Software Engineer - Louisville, TN - $54/hr - Contract
Louisville, TN • On-site, Remote
$54/hr
Full-time
Posted 19 days ago
Job description
Semantic Software Engineer - Louisville, TN - $54/hr
Location: Louisville, TN
Work Arrangement: Onsite
Overview:
We're seeking an experienced Semantic Software Engineer to design and develop knowledge-driven software solutions that leverage semantic technologies, ontologies, and structured data models.
This role focuses on enabling semantic interoperability, knowledge graph integration, and standards-based data exchange across enterprise systems. The ideal candidate has deep experience with semantic technologies, data virtualization, knowledge models, and API-driven architectures.
You'll work closely with architects, ontologists, and domain experts to build scalable semantic services that improve data accessibility, consistency, and business intelligence across the organization.
Key Responsibilities:
Design and develop semantic-enabled software components and services.
Build solutions leveraging ontologies, knowledge models, and semantic metadata.
Integrate semantic layers with APIs, backend services, and enterprise data platforms.
Develop semantic data processing, validation, and transformation logic.
Support knowledge graph integration and semantic interoperability initiatives.
Implement semantic data virtualization solutions, including R2RML mappings.
Collaborate with architects, ontologists, and business stakeholders to translate semantic models into scalable applications.
Ensure semantic consistency across data ingestion, transformation, and consumption layers.
Participate in architecture reviews, design discussions, code reviews, and technical planning.
Troubleshoot and resolve semantic data integration and interpretation issues.
Follow software engineering best practices for coding, testing, documentation, and SDLC processes.
Requirements:
Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field.
7+ years of Semantic Software Engineering experience.
7+ years of Data Virtualization experience.
Strong experience with ontology-driven development and structured knowledge models.
Experience implementing semantic interoperability solutions.
Knowledge graph design and integration experience.
Experience with semantic metadata and metadata-driven systems.
Experience with semantic data virtualization and R2RML mappings.
Proficiency with SPARQL, GraphQL, APIs, and backend service integration.
Experience working with semantic stores and reasoning engines.
Strong understanding of SDLC and software engineering best practices.
Experience working in Agile development environments.
Excellent analytical, troubleshooting, and problem-solving skills.
Preferred Qualifications:
Enterprise data architecture experience.
Experience building large-scale knowledge-driven applications.
Experience with standards-based data exchange models.
Experience integrating semantic technologies into analytics platforms.
Knowledge of AI, machine learning, or data science ecosystems.
Experience working within highly regulated industries.
Compensation & Benefits:
Pay Rate: $54/hour
Employment Type: Contract
Work Arrangement: Onsite
Visa Sponsorship: No visa sponsorship available.
Relocation Assistance: No relocation assistance available.
Benefits may be available based on employment classification.
Apply Today:
If you're passionate about semantic technologies, knowledge graphs, and building intelligent enterprise data solutions, we encourage you to apply today.