Ontology & Semantic Modeler

Evnek Technologies Pvt Ltd; Bengaluru Urban; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Evnek Technologies Pvt Ltd in Bangalore seeks an experienced Knowledge, Ontology & Semantic Modeler to design and develop enterprise ontologies, semantic models, and knowledge graphs for AI-powered enterprise insights.

The role emphasizes semantic data modeling, cross-source integration, and building semantic layers that enable robust knowledge retrieval, reasoning, and AI applications, with collaboration across data, AI, and business teams.

Qualifications

• Hands-on experience with RDF, RDFS, OWL, SKOS, SPARQL, JSON-LD, and SHACL.
• Expertise in ontology engineering, taxonomy design, and knowledge graph development.
• Experience with graph databases such as Neo4j, Amazon Neptune, or GraphDB.

Responsibilities

• Design and develop enterprise ontologies, taxonomies, knowledge graphs, and semantic data models.
• Define business concepts, entities, relationships, hierarchies, rules, and business metrics.
• Develop semantic mappings between source systems, canonical data models, and business ontologies.
• Implement entity resolution, semantic enrichment, ontology alignment, and relationship discovery.
• Build enterprise semantic layers to support business queries, knowledge retrieval, and AI-driven applications.
• Apply knowledge representation, inference, and rule-based reasoning techniques.
• Establish semantic governance, data validation, lineage, and version management practices.
• Develop semantic queries and support natural language-to-structured query mapping.
• Collaborate with business stakeholders, data architects, data engineers, and AI teams to translate domain knowledge into reusable semantic models.
• Support AI applications through structured knowledge foundations, semantic retrieval, and knowledge graph integration.

Skills

Ontology engineering

Knowledge graph development

Graph databases

Python

Semantic web libraries

Tools

Python

Semantic web libraries

Job description

Bangalore South, India | Posted on 10/27/2026

Notice Period: Immediate Joiners Preferred

Job Overview

We are looking for an experienced Knowledge, Ontology& Semantic Modeler to design and develop enterprise ontologies,semantic models, and knowledge graphs. The ideal candidate will establishconsistent business meaning across multiple data sources and build semanticfoundations that enable AI-powered knowledge retrieval, reasoning, andenterprise intelligence.

The candidate should have strong expertise in ontologyengineering, semantic data modeling, knowledge representation, and semantictechnologies, with an understanding of modern AI architectures, including LargeLanguage Models (LLMs), Retrieval-Augmented Generation (RAG), and Graph RAG.

Key Responsibilities

• Designand develop enterprise ontologies, taxonomies, knowledge graphs, andsemantic data models.
  
• Definebusiness concepts, entities, relationships, hierarchies, rules, andbusiness metrics.
  
• Developsemantic mappings between source systems, canonical data models, andbusiness ontologies.
  
• Implemententity resolution, semantic enrichment, ontology alignment, andrelationship discovery.
  
• Buildenterprise semantic layers to support business queries, knowledgeretrieval, and AI-driven applications.
  
• Applyknowledge representation, inference, and rule-based reasoning techniques.
  
• Establishsemantic governance, data validation, lineage, and version managementpractices.
  
• Developsemantic queries and support natural language-to-structured query mapping.
  
• Collaboratewith business stakeholders, data architects, data engineers, and AI teamsto translate domain knowledge into reusable semantic models.
  
• SupportAI applications through structured knowledge foundations, semanticretrieval, and knowledge graph integration.
  

Required Technical Skills

1. Ontology Engineering & Knowledge Graphs

• Stronghands-on experience with RDF, RDFS, OWL, SKOS, SPARQL, JSON-LD, and SHACL.
  
• Expertisein ontology engineering, taxonomy design, and knowledge graph development.
  
• Experiencewith graph databases such as Neo4j, Amazon Neptune, or GraphDB.
  

2. Semantic Modeling & Reasoning

• Strongunderstanding of semantic data modeling, concept mapping, and ontologyalignment.
  
• Experiencein entity resolution, relationship modeling, and semantic enrichment.
  
• Knowledgeof inference engines, knowledge representation, and rule-based reasoning.
  
• Experiencedefining business glossaries, semantic definitions, business metrics, anddimensional hierarchies.
  
• Goodunderstanding of SQL, data modeling, metadata management, and dataintegration.
  
• Familiaritywith enterprise semantic layers and semantic data architecture.
  
• Understandingof LLMs, RAG, Graph RAG, hybrid retrieval, and AI-powered knowledgeretrieval.
  
• Pythonprogramming and experience with semantic web libraries are desirable.
  

Preferred Qualifications

• Hands-onexperience building enterprise semantic layers and reusable knowledgemodels.
  
• Experiencedeveloping knowledge foundations for AI-powered enterprise applications.
  
• Exposureto integrating knowledge graphs with LLM-based applications and retrievalpipelines.
  
• Stronganalytical, problem-solving, communication, and stakeholder collaborationskills.
  

Requirements

OntologyEngineering, Semantic Data Modeling, Knowledge Graph Development, SemanticArchitecture, or Enterprise Data

Architecture who have hands-on experience withsemantic web standards and AI-enabled knowledge systems are encouraged toapply.

Keywords: Ontology Engineering, Semantic Modeling, Knowledge Graph, RDF, RDFS, OWL, SKOS,SPARQL, JSON-LD, SHACL, Neo4j, GraphDB, Amazon Neptune, Semantic Layer, EntityResolution, Metadata Management, Python, SQL, LLM, RAG, Graph RAG, KnowledgeRepresentation