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Contract Knowledge Graph Jobs (NOW HIRING)

eTeam

Senior Agentic Platform Engineer

Sunnyvale, CA

$124K - $170K/yr

Beeline ID 2:28 119095-1 Number of Openings 1 Duration of contract 12 months No of years ... our knowledge graph, supporting the existing team by accelerating technical milestones and ...

Fabrion

Data Engineer (Founding Team)

Bodega Bay, CA · On-site

$135K - $163K/yr

You'll build the backend systems, data pipelines, connector frameworks, and graph-based knowledge ... Create and manage data contracts, access layers, lineage, and governance mechanisms * Build and ...

Emberos

Product Lead (Head of Product)

Los Angeles, CA · Remote

... Knowledge Graph, Fix Packs, and the roadmap across all product lines. You'll define what gets built ... data contracts, strong pov on what good instrumentation and observability looks like; can write a ...

Black Canyon Consulting

Lead Ontologist

Bethesda, MD · Remote

We define competency questions as the contract for what a system must be able to answer, design ... Experience with knowledge graph platforms or graph databases * Experience in client-facing roles ...

Black Canyon Consulting

Lead Ontologist

Bethesda, MD · On-site

We define competency questions as the contract for what a system must be able to answer, design ... Experience with knowledge graph platforms or graph databases * Experience in client-facing roles ...

Gene by Gene

Senior AI Developer

Houston, TX · On-site

$52 - $68.75/hr

... knowledge graphs -- schema and ontology design, a graph database, and at least one graph query ... contract testing, plus AI-specific evaluation harnesses. • Excellent written and verbal ...

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Contract Knowledge Graph information

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$9

$31

$119

How much do contract knowledge graph jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for contract knowledge graph in the United States is $31.03, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $25.96 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.
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Contract Knowledge Graph jobs near you
Infographic showing various Contract Knowledge Graph job openings in the United States as of June 2026, with employment types broken down into 5% As Needed, 68% Full Time, and 27% Part Time. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $64,550 per year, or $31 per hour.

Full-Stack Software Engineer - Core Platform

Cyrad Solutions LLC

Arlington, VA

Full-time

Posted 18 days ago

Job description

About Us

We build the operating system for agentic AI in environments where failure isn't an option. In our first ten months we won four U.S. Government prime contracts in open competition, every one deployed into classified infrastructure, beating established defense primes head to head. Our team comes from the intelligence community, special operations, and frontier AI research. We've lived this problem from the inside.

About the Role

Our core platform turns days of manual synthesis into minutes of insight. You'll own features end to end, Python backend to React frontend, putting real AI tooling directly in analysts' hands. This isn't greenfield work for its own sake; what you build runs in production environments where the stakes are real.

What You'll Do

  • Build and own FastAPI endpoints backed by PostgreSQL for agent configuration, workflow orchestration, and evaluation pipelines
  • Implement React/TypeScript features: conversation interfaces, workflow visualization, knowledge-graph exploration
  • Design durable orchestration for long-running agent execution — delegation, monitoring, timeout propagation
  • Write contract-driven, test-first code across the full stack, from database migration to UI state
  • Own performance at every layer, API latency, query efficiency, render performance, streaming. Treat slowness as a bug
  • Contribute to Python and TypeScript client SDKs so programmatic consumers get ergonomic, well-typed access
  • Debug across service boundaries using distributed tracing

You're a Fit If You

  • Ship production Python (async, relational modeling, layered services) and production React/TypeScript
  • Reason clearly about data flow from schema to UI state
  • Work test-first and write code other people can maintain

Nice to Have

  • Experience with agentic AI systems or LLM APIs
  • Distributed task orchestration
  • Graph databases or vector search
  • OAuth2/OIDC identity management
  • Background in intelligence analysis or analytical workflows

U.S. citizenship is required. Eligibility to obtain a security clearance is strongly recommended.

We are in-person only in Arlington, VA or New York City, NY