Remote Knowledge Graph Software Engineer Jobs in Miami, FL

AboutiBusiness.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.

Joinusandbepartofateamthatstransformingthefinanceindustryandempoweringbusinessestothrive!

PositionDescription

WeareseekinganexperiencedKnowledgeGraph&OntologyEngineertodesign,implement,andgoverntheknowledgerepresentationlayerfornext-generationAIsystems.Thisrolebuildsthefoundationalknowledgestructuresontologies,semanticmodels,knowledgegraphs,provenance,anddatafusionpatternsthatenableAIagentsandLLMapplicationstoreasonoverenterpriseknowledgereliably.YouwillcollaboratecloselywithRetrieval/Relevanceengineering,AIresearchers,anddataengineeringtoensureourknowledgeiswell-structured,consistent,explainable,andevolvable.

MajorAreasofResponsibility

KnowledgeRepresentation&SemanticModeling

• Develop and maintain ontologies, knowledge graphs, and semantic data models to structure and integrate domain knowledge for improved reasoning and downstream retrieval.
• Definecanonicalentities,relationships,attributes,andconstraints,includingtaxonomy/controlledvocabulariesandsemanticdefinitions.
• Establish schema versioning, governance, and backward compatibility strategies to evolve the knowledge model safely.

DataFusion&KnowledgeIntegration

• 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,andDataQuality

• Defineandenforceprovenance/lineagestandards(sourceattribution,timestamps,confidence,auditability).
• Collaborate with pipeline engineers to implement validation rules and quality gates for knowledge graph construction (e.g., integrity constraints, anomaly detection).
• CognitiveMemory&PersistentKnowledgeStructures(RepresentationView)
• 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.
• Evaluateandintegratenewtechnologiesandresearchinknowledgerepresentationandsemanticmodeling.

RequiredKnowledge,Skills,andAbilities

• Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or related field (or equivalent experience).
• Provenexperiencebuildingknowledgegraphs,semanticdatamodels,and/orenterpriseknowledgebases.
• Experiencewithsemantictechnologiesandstandards(asapplicable):RDF,OWL,SPARQL(orequivalentgraph/ontologyconcepts).
• Strongfoundationsindatamodeling,entityresolution/canonicalization,andschemagovernance.
• ProficiencyinPythonandworkingwithdatapipelines(incollaborationwithdataengineering).
• Excellentanalytical,problem-solving,andcross-functionalcommunicationskills.

NiceToHaves

• Experiencedesigningagentmemoryrepresentations(episodic/semanticmemorypatterns,long-termcontext).
• FamiliaritywithLLMgroundingpatterns(provenance,citations,trustsignals).
• Experiencewithgraphdatabasesandtooling(e.g.,Neo4j/AWSNeptuneequivalents).
• Experiencewithdata-centricAIandtrainingdataqualityassessment.

PrimaryOwnership(Whatsuccesslookslike)

• Theknowledgemodeliscorrect,consistent,explainable,andgovernable.
• High-qualityentityresolution+cleanrelationships+strongprovenancecoverage.
• Stableschemasthatevolvewithoutbreakingdownstreamapplications.

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,orworkingconditionsassociatedwiththeposition.

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.