Knowledge Graph Engineer
AddSource · Irving, TX · 1 mo ago
HybridInformation TechnologyFull-time
About the role
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.
Responsibilities
- Map contract, invoice, vendor, and payment entities into semantic models.
- Develop SPARQL queries.
- Enable semantic search and reasoning capabilities.
- Support AI-driven data discovery.
- Create 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.
Requirements
- Minimum 8+ years of experience.
- Location: Irving, TX (Hybrid 3 days Work from Office).
Qualifications
- Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
- Technical certification in multiple technologies is desirable.
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)
- 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