Knowledge Graph Engineer

Role: Sr. Knowledge Graph Engineer

Seeking an experienced Knowledge Graph Engineer to design and implement enterprise semantic data models, ontologies, and Stardog-based Knowledge Graphs that enable AI-driven contract and invoice intelligence through semantic search, Graph RAG, Agentic AI, and contextual data relationships to join our team in Irving, TX.

Experience: - Min 8+ Years

Location: - Irving, TX (Hybrid 3 days' Work from Office)

Educational Qualifications: -

Engineering Degree BE/ME/BTech/MTech/BSc/MSc.

Technical certification in multiple technologies is desirable.

Skills: -

Mandatory skills

Responsibilities include mapping contract, invoice, vendor, and payment entities into semantic models, developing SPARQL queries, enabling semantic search and reasoning capabilities, and supporting AI-driven data discovery.

The role also involves creating scalable graph-based solutions that support Gen AI, Agentic AI, and enterprise analytics use cases through semantic enrichment and contextual data relationships.

Knowledge Graph Development Design enterprise knowledge graph architecture. Develop semantic data models and ontologies.

Build entity relationship models across: Contracts Invoices Vendors Purchase Orders Cost Centers Approval Workflows Create ontology-driven business rules.

Stardog Development Configure and manage Stardog environment.

Develop and optimize: RDF Models OWL Ontologies SPARQL Queries Graph Analytics Implement semantic reasoning and inferencing. Databricks Integration Ingest structured and unstructured data into Databricks.

Build pipelines for Contract and Invoice data. Create mappings from relational models to knowledge graph structures.

Implement automated graph population processes. Semantic AI Enablement Support Gen AI and Agentic AI solutions through enterprise knowledge graph integration. Enable contextual retrieval and semantic search capabilities.

Build graph-based RAG solutions. Data Governance Define taxonomy, metadata, and ontology governance standards. Establish semantic data quality frameworks. Maintain lineage and traceability of business entities.

Required Skills Semantic Technologies Stardog RDF OWL SPARQL Knowledge Graph Development Ontology Design Semantic Modeling Data Engineering Databricks PySpark SQL ETL/ELT Design Data Modeling Programming Python REST APIs Cloud Platforms Azure (Preferred) AWS GCP Graph RAG Architecture Gen AI & Knowledge Graph Integration Enterprise Data Governance Contract & Invoice Domain Knowledge Taxonomy and Semantic Layer Design Azure Cloud Platform Master Data Management (MDM)

Skills

Stardog, Knowledge Graph, Ontology Modelling, Semantic Technologies, Databricks, Stardog Platform Administration & Development, Ontology Design & Semantic Modelling, RDF, OWL, SPARQL Knowledge Graph Development, Databricks, PySpark, SQL, Python Development, Data Modelling and Metadata Management, Graph-based Data Integration

VeeRteq Solutions is an Equal Opportunity Employer