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Knowledge Graph Architect Jobs in Texas (NOW HIRING)

Accenture

Knowledge Engineer Specialist

Houston, TX · On-site

$70K - $205K/yr

Build Knowledge Graph solutions that transform clients' data architecture. * Design, develop, and implement AI and semantic solutions and ensure that all the pieces work together seamlessly * Work ...

Programmers.io

SAP AI Architect

Austin, TX · On-site

$81.50 - $109.75/hr

* AI Architect with Strong experience with SAP AI Core and AI model lifecycle management. * Hands on ... Knowledge of SAP Generative AI Knowledge Graph and semantic data modeling. * Extensive experience ...

XFORIA Inc

Snowflake Architect

Houston, TX · On-site

Understanding of ontology, semantic modeling, taxonomies, business glossaries, or knowledge graph ... Support data architecture using Iceberg managed tables , including open table formats ...

Fynbosys Inc

AI Architect

Austin, TX · On-site

AI Architect Location: Austin, Charlotte, San Diego, NYC Experience: 15+ years engineering ... RAG and code/knowledge-graph design; retrieval-pipeline design and tuning. * Production LLM systems ...

ServiceNow

Solution Architect - AI & Data

Addison, TX · On-site

$61 - $80.25/hr

Advise on the strategic application of knowledge graph concepts, semantic technologies, and ontological frameworks (RDF, SPARQL) to enterprise data and AI use cases. * Shape data architecture ...

ServiceNow

Solution Architect - AI & Data

Addison, TX

$61 - $80.25/hr

Advise on the strategic application of knowledge graph concepts, semantic technologies, and ontological frameworks (RDF, SPARQL) to enterprise data and AI use cases. * Shape data architecture ...

ServiceNow

Solution Architect - AI & Data

Addison, TX · On-site

$61 - $80.25/hr

Advise on the strategic application of knowledge graph concepts, semantic technologies, and ontological frameworks (RDF, SPARQL) to enterprise data and AI use cases. * Shape data architecture ...

ServiceNow

Solution Architect - AI & Data

Addison, TX · On-site

$61 - $80.25/hr

Advise on the strategic application of knowledge graph concepts, semantic technologies, and ontological frameworks (RDF, SPARQL) to enterprise data and AI use cases. * Shape data architecture ...

ServiceNow

Solution Architect - AI & Data

Addison, TX · On-site

$61 - $80.25/hr

Advise on the strategic application of knowledge graph concepts, semantic technologies, and ontological frameworks (RDF, SPARQL) to enterprise data and AI use cases. * Shape data architecture ...

Geico

Staff Software Engineer (HYBRID)

Dallas, TX

Architect and design enterprise-scale knowledge graph platformsthat capture and model GEICO's comprehensive insurance domain expertise, customer insights, product relationships, and market ...

ServiceNow

Solution Architect - AI & Data

Austin, TX · On-site +1

$62.50 - $82.25/hr

Advise on the strategic application of knowledge graph concepts, semantic technologies, and ontological frameworks (RDF, SPARQL) to enterprise data and AI use cases. * Shape data architecture ...

ServiceNow

Solution Architect - AI & Data

Addison, TX · On-site

$61 - $80.25/hr

Advise on the strategic application of knowledge graph concepts, semantic technologies, and ontological frameworks (RDF, SPARQL) to enterprise data and AI use cases. * Shape data architecture ...

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Knowledge Graph Architect information

What are Knowledge Graph Architects?

Knowledge Graph Architects are professionals who design, develop, and maintain knowledge graphs—data structures that organize information into interconnected entities and relationships. They combine expertise in data modeling, semantic technologies, and ontologies to enable advanced data integration, search, and analytics within organizations. Their work helps businesses extract meaningful insights from complex datasets by structuring information in ways that are both machine-readable and semantically rich.

What are some typical challenges Knowledge Graph Architects face when integrating data from diverse sources?

Knowledge Graph Architects often encounter challenges related to data heterogeneity, including varying data formats, inconsistent naming conventions, and differing semantics across multiple systems. Successfully integrating these disparate data sources requires designing robust ontologies, mapping relationships, and resolving conflicts to ensure data consistency and usability. Collaboration with domain experts, data engineers, and business stakeholders is essential to align technical solutions with business needs, making strong communication skills and adaptability crucial in this role.

What are the key skills and qualifications needed to thrive as a Knowledge Graph Architect, and why are they important?

To thrive as a Knowledge Graph Architect, you need expertise in data modeling, semantic technologies, graph databases, and a strong background in computer science or information systems. Familiarity with tools like RDF, SPARQL, OWL, Neo4j, and experience with data integration platforms or cloud-based data services is highly valuable. Strong problem-solving, communication, and stakeholder management skills are essential to translate complex data needs into scalable knowledge graph solutions. These competencies enable effective design, implementation, and maintenance of knowledge graphs, which are critical for deriving actionable insights from complex data landscapes.
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Knowledge Graph Architect jobs near you
Data & Knowledge Graph Architect

Data & Knowledge Graph Architect

Inficare Technologies

Lake Dallas, TX • On-site

$150K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Data & Knowledge Graph Architect
Job Type: Full Time
Experience: 10+ years
Job Overview
Our client is seeking a senior Data & Knowledge Graph Architect to build systems that collect, manage, and convert raw data into usable information for business requirements. You will play a crucial role in ensuring data retrieval, reliability, quality, and efficiency within the organization, with a focus on RDF-based graph databases and knowledge graph design.
Required Skills
  • Languages & Frameworks: Python, Java, Spark (10-12+ years)
  • Graph & Query: RDF-based Graph Databases (RDF4j, Virtuoso, GraphDB, Apache Jena), SPARQL (6+ years)
  • Vector Databases: Pinecone, FAISS (6+ years)
  • Data Engineering: Data Pipeline Design, Batch & Stream Processing, Kafka, Large Data Handling
  • Databases: SQL, NoSQL, RDS, Redshift, DynamoDB, Synapse, BigQuery, MongoDB
  • Cloud Platforms: Azure, AWS, GCP - minimum two platforms (8+ years)
  • APIs & Messaging: REST APIs, FastAPI, event-driven messaging technologies
  • AI Coding Agents: Proficiency in AI-assisted coding tools
  • Architect-level experience: 6+ years in an architect role

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