ZipRecruiter

Log In

1

Contract Knowledge Graph Jobs in Florida (NOW HIRING)

Prescient Edge

Knowledge Manager

Doral, FL · On-site

Please note that the availability of this position is contingent upon contract award. Benefits: At ... Must be proficient in metadata management frameworks, knowledge graph integration, and structured ...

Second-61 LLC

Project Manager (Ontology)

Doral, FL

... contracts. Location: Doral, FL Responsibilities: * Lead delivery of projects focused on ontology development and knowledge graph integration * Manage project scope, schedule, cost, and performance ...

Second-61

Project Manager (Ontology)

Doral, FL · On-site

... contracts. Location: Doral, FL Responsibilities: * Lead delivery of projects focused on ontology development and knowledge graph integration * Manage project scope, schedule, cost, and performance ...

Worth AI

Data Platform Engineer

Miami, FL · On-site +1

$109K - $131K/yr

Design and maintain a high-performance global business knowledge graph and ontology to map complex ... contracts, SLAs, and versioned APIs Requirements * Expertise in Graph Ecosystems: Hands-on ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

Design and maintain a high-performance global business knowledge graph and ontology to map complex ... contracts, SLAs, and versioned APIs Requirements * Expertise in Graph Ecosystems: Hands-on ...

Worth AI

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

Design and maintain a high-performance global business knowledge graph and ontology to map complex ... contracts, SLAs, and versioned APIs Requirements * Expertise in Graph Ecosystems: Hands-on ...

Worth AI

Data Platform Engineer

Tampa, FL · On-site +1

$108K - $129K/yr

Design and maintain a high-performance global business knowledge graph and ontology to map complex ... contracts, SLAs, and versioned APIs Requirements * Expertise in Graph Ecosystems: Hands-on ...

SOSi

Project Manager WO-007

Doral, FL

This position is contingent upon award of contract** SOSi is seeking a Project Manager to support ... Skilled at complex technical projects, particularly in ontology development, knowledge graph ...

SOSi

Senior Ontology Expert/Project Manager

Doral, FL · On-site

This position is contingent upon contract award** SOSi is seeking a Senior Ontology Expert/Project ... Skilled at complex technical projects, particularly in ontology development, knowledge graph ...

SOSi

Project Manager WO-007

Doral, FL

This position is contingent upon award of contract** SOSi is seeking a Project Manager to support ... Skilled at complex technical projects, particularly in ontology development, knowledge graph ...

SOSi

Project Manager WO-007

Doral, FL · On-site

This position is contingent upon award of contract** SOSi is seeking a Project Manager to support ... Skilled at complex technical projects, particularly in ontology development, knowledge graph ...

next page

Showing results 1-20

All JobsContract Knowledge Graph JobsContract Knowledge Graph Jobs in Florida

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?

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 Florida? The most popular types of Knowledge Graph jobs in Florida are:
What are popular job titles related to Contract Knowledge Graph jobs in Florida? For Contract Knowledge Graph jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Contract Knowledge Graph jobs in Florida look for? The top searched job categories for Contract Knowledge Graph jobs in Florida are:
What cities in Florida are hiring for Contract Knowledge Graph jobs? Cities in Florida with the most Contract Knowledge Graph job openings:
Contract Knowledge Graph jobs near you
Infographic showing various Contract Knowledge Graph job openings in Florida as of June 2026, with employment types broken down into 3% As Needed, 52% Full Time, and 45% Part Time. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution.
Knowledge Graph & Ontology Engineer (AI Knowledge Representation)

Knowledge Graph & Ontology Engineer (AI Knowledge Representation)

iBusiness Funding LLC

Fort Lauderdale, FL • On-site

Full-time

Posted 28 days ago

Job description

About iBusiness.ai
iBusiness.ai is a leading financial technology company transforming the way banks, credit unions, and lenders innovate. As a pioneer in secure AI, automation, and AI software development, iBusiness.ai builds infrastructure and platforms that empower financial institutions to modernize faster-without sacrificing compliance or security. Its technology enables seamless digital transformation across lending, banking, and customer experience systems, giving institutions the tools to compete and innovate at enterprise scale.
Join us and be part of a team that's transforming the finance industry and empowering businesses to thrive!
Position Description
We are seeking an experienced Knowledge Graph & Ontology Engineer to design, implement, and govern the knowledge representation layer for next-generation AI systems. This role builds the foundational knowledge structures-ontologies, semantic models, knowledge graphs, provenance, and data fusion patterns-that enable AI agents and LLM applications to reason over enterprise knowledge reliably. You will collaborate closely with Retrieval/Relevance engineering, AI researchers, and data engineering to ensure our knowledge is well-structured, consistent, explainable, and evolvable.
Major Areas of Responsibility
Knowledge Representation & Semantic Modeling
  • Develop and maintain ontologies, knowledge graphs, and semantic data models to structure and integrate domain knowledge for improved reasoning and downstream retrieval.
  • Define canonical entities, relationships, attributes, and constraints, including taxonomy/controlled vocabularies and semantic definitions.
  • Establish schema versioning, governance, and backward compatibility strategies to evolve the knowledge model safely.

Data Fusion & Knowledge Integration
  • Aggregate disparate knowledge bases and heterogeneous data into a fused, consistent representation with clear semantics and lineage.
  • Design integration patterns for structured + unstructured sources (e.g., documents → entities/relations) and maintain alignment across domains.

Provenance, Lineage, and Data Quality
  • Define and enforce provenance/lineage standards (source attribution, timestamps, confidence, auditability).
  • Collaborate with pipeline engineers to implement validation rules and quality gates for knowledge graph construction (e.g., integrity constraints, anomaly detection).
  • Cognitive Memory & Persistent Knowledge Structures (Representation View)
  • Design representation primitives that support cognitive memory architectures for AI agents (identity, episodic traces, persistent facts, context scoping).

Collaboration & Documentation
  • Partner with Retrieval/Relevance engineering to define metadata contracts and "safe traversal" semantics for graph-aware retrieval.
  • Maintain clear documentation of schemas, ontologies, knowledge modeling guidelines, and governance processes.
  • Evaluate and integrate new technologies and research in knowledge representation and semantic modeling.

Required Knowledge, Skills, and Abilities
  • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field (or equivalent experience).
  • Proven experience building knowledge graphs, semantic data models, and/or enterprise knowledge bases.
  • Experience with semantic technologies and standards (as applicable): RDF, OWL, SPARQL (or equivalent graph/ontology concepts).
  • Strong foundations in data modeling, entity resolution/canonicalization, and schema governance.
  • Proficiency in Python and working with data pipelines (in collaboration with data engineering).
  • Excellent analytical, problem-solving, and cross-functional communication skills.

Nice To Haves
  • Experience designing agent memory representations (episodic/semantic memory patterns, long-term context).
  • Familiarity with LLM grounding patterns (provenance, citations, trust signals).
  • Experience with graph databases and tooling (e.g., Neo4j/AWS Neptune equivalents).
  • Experience with data-centric AI and training data quality assessment.

Primary Ownership (What success looks like)
  • The knowledge model is correct, consistent, explainable, and governable.
  • High-quality entity resolution + clean relationships + strong provenance coverage.
  • Stable schemas that evolve without breaking downstream applications.

Conclusion:
This job description is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. This job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities, or working conditions associated with the position.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, genetic information, or any other characteristic protected by law.

Apply