Senior Knowledge Graph Engineer — Hybrid Irving for Gen AI

AddSource; Irving (TX); Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Hybrid work schedule

Job summary

AddSource is seeking an experienced Sr. Knowledge Graph Engineer to design enterprise semantic data models, ontologies, and Stardog-based Knowledge Graphs for AI-driven contract and invoice intelligence. Hybrid role in Irving, TX.

You will map contracts, invoices, vendors, and payments into semantic models, develop SPARQL queries, enable semantic search and reasoning, and build scalable graph-based solutions to support Gen AI and enterprise analytics.

Qualifications

• Design and implement enterprise semantic data models, ontologies, and Knowledge Graphs.
• Develop SPARQL queries and enable semantic search, reasoning, and Data Discovery.

Responsibilities

• Map contracts, invoices, vendors and payments into semantic models.
• Create ontology-driven business rules and scalable graph-based solutions.
• Configure and manage Stardog environment and RDF/OWL ontologies.
• Develop data pipelines to ingest structured and unstructured data into Databricks.

Skills

Stardog

Knowledge Graph

Ontology Modelling

Semantic Technologies

Databricks

PySpark

SQL

Python

REST APIs

Cloud Platforms

Education

Engineering Degree

Tools

Stardog

Databricks

OWL/RDF

SPARQL

Job description

AddSource is seeking an experienced Sr. Knowledge Graph Engineer to design enterprise semantic data models, ontologies, and Stardog-based Knowledge Graphs for AI-driven contract and invoice intelligence. Hybrid role in Irving, TX.

You will map contracts, invoices, vendors, and payments into semantic models, develop SPARQL queries, enable semantic search and reasoning, and build scalable graph-based solutions to support Gen AI and enterprise analytics.