ZipRecruiter

Log In

1

Knowledge Graph Engineer Jobs in Florida (NOW HIRING)

Programmers.io

Ontology Business Consultant

Tampa, FL · On-site

Ontologist, Ontology Engineer, Semantic Data Modeler, Knowledge Graph Engineer, Semantic Modeler Lead, Ontology Consultant. • Tech stack: RDF, OWL, SHACL, SPARQL, Stardog (or GraphDB, Blazegraph ...

NewGen

Platform Architect/Consultant

Tampa, FL · On-site

Experience in data engineering, knowledge representation, or graph databases * Deep expertise in Amazon Neptune (or equivalent graph database platforms) * Strong proficiency in RDF, OWL, SPARQL, and ...

NewGen Technologies

Experience in data engineering, knowledge representation, or graph databases * Deep expertise in Amazon Neptune (or equivalent graph database platforms) * Strong proficiency in RDF, OWL, SPARQL, and ...

Second-61 LLC

Project Manager (Ontology)

Doral, FL

... knowledge graph integration * Manage project scope, schedule, cost, and performance across technical teams * Coordinate efforts across data engineering, analytics, and geospatial teams * Oversee ...

Second-61

Project Manager (Ontology)

Doral, FL · On-site

... knowledge graph integration * Manage project scope, schedule, cost, and performance across technical teams * Coordinate efforts across data engineering, analytics, and geospatial teams * Oversee ...

Quiet Professionals LLC

ML Administrator

Tampa, FL · On-site

This role manages knowledge graph metadata integration, data governance, and cataloging in ... Master's degree or higher in Computer Science, Information Technology, Systems Engineering, Data ...

SOSi

Data Lake Engineer

Doral, FL · On-site

$105K - $127K/yr

SOSi is seeking a Data Lake Engineer to support mission requirements for a structured approach to ... knowledge graph platform (Stardog), including SPARQL endpoint access, metadata federation, and ...

SOSi

Data Lake Engineer

Doral, FL

$105K - $127K/yr

SOSi is seeking a Data Lake Engineer to support mission requirements for a structured approach to ... knowledge graph platform (Stardog), including SPARQL endpoint access, metadata federation, and ...

next page

Showing results 1-20

People also search for

All JobsKnowledge Graph Engineer JobsKnowledge Graph Engineer Jobs in Florida

Knowledge Graph Engineer information

What are popular job titles related to Knowledge Graph Engineer jobs in Florida? For Knowledge Graph Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Knowledge Graph Engineer jobs in Florida look for? The top searched job categories for Knowledge Graph Engineer jobs in Florida are:
What cities in Florida are hiring for Knowledge Graph Engineer jobs? Cities in Florida with the most Knowledge Graph Engineer job openings:
Knowledge Graph Engineer jobs near you
Infographic showing various Knowledge Graph Engineer job openings in Florida as of May 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% 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 15 days ago

Job description

About iBusiness
iBusiness 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 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