Senior Knowledge Graph Engineer - AI-Driven Diagnostics

SARACA; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

SARACA in Dallas seeks a hands-on Semantic Platform Engineer to design and deploy an ontology-driven knowledge platform. You will build RDF graphs, SPARQL queries, SHACL checks, and Azure deployments to support AI-powered diagnostics.

You will collaborate with data engineers and software teams to release portable, containerized solutions, implement CI/CD, and ensure data quality across multi-cloud environments.

Qualifications

• 4+ years building production-grade semantic data platforms.
• Proficiency with RDF/RDFS, OWL 2, SPARQL 1.1, SHACL.
• Strong Python skills with RDFLib or equivalent.
• Experience with Git, automated testing, and CI/CD.

Responsibilities

• Deploy and configure ontology engine and semantic repository.
• Develop data pipelines to Azure for semantic data.
• Build portable deployments with IaC for multi-cloud.
• Expose knowledge graphs via read-only endpoints for AI agents.
• Manage ontologies and semantic models with CI/CD.
• Implement SPARQL tests and SHACL validation.
• Create documentation and sample queries for AI grounding.
• Maintain competency questions and historical data tests.
• Collaborate with domain experts and engineers.

Skills

Ontology engineering

RDF/OWL

SPARQL

SHACL

Python

RDFLib

Git & CI/CD

Azure

Databricks

Containerization

Knowledge graphs

Tools

GraphDB

Stardog

RDFox

Apache Jena/Fuseki

Protégé

Job description

SARACA in Dallas seeks a hands-on Semantic Platform Engineer to design and deploy an ontology-driven knowledge platform. You will build RDF graphs, SPARQL queries, SHACL checks, and Azure deployments to support AI-powered diagnostics.

You will collaborate with data engineers and software teams to release portable, containerized solutions, implement CI/CD, and ensure data quality across multi-cloud environments.