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Knowledge Graph Architect Jobs (NOW HIRING)

Mendix

Principal Presales Consultant - Knowledge Graph

$135K - $250K/yr

With the 2025 acquisition of Altair Graph Studio , Siemens now offers a Knowledge Graph platform ... Guide enterprise AI adoption at the architectural and executive level $135,700 - $250,000 a year ...

Salesforce, Inc.

Principal Knowledge Engineer

New York, NY

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Lead architecture and design for knowledge graph ecosystems, including graph data models, ontologies, semantic layers, entity resolution frameworks, graph APIs, vector search capabilities, and ...

Salesforce, Inc.

Principal Knowledge Engineer

Seattle, WA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Lead architecture and design for knowledge graph ecosystems, including graph data models, ontologies, semantic layers, entity resolution frameworks, graph APIs, vector search capabilities, and ...

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$46.5K

$128.8K

$201.5K

How much do knowledge graph architect jobs pay per year?

As of Aug 15, 2026, the average yearly pay for knowledge graph architect in the United States is $128,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $166,000.00 per year, depending on experience, location, and employer.

What is a knowledge graph architect?

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?

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
Infographic showing various Knowledge Graph Architect job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $128,756 per year, or $61.9 per hour.

Principal Presales Consultant - Knowledge Graph

Mendix

Remote

Full-time

Re-posted 10 days ago

Job description

Job Summary:
Mendix is a low-code app development platform and a Siemens Business, focused on transforming how enterprises utilize data. The Principal Presales Consultant will lead the discovery of customer AI/data ecosystems and position Siemens' Knowledge Graph platform as a foundation for enterprise-grade AI solutions.
Responsibilities:
• Lead discovery of customer AI/data ecosystems, assess AI/ML maturity, and uncover strategic opportunities
• Position Siemens’ Knowledge Graph platform as the foundation for enterprise-grade Agentic and Generative AI
• Demonstrate how Graph Studio & Graph Lakehouse enhance LLM accuracy, reduce hallucinations, and enable intelligent automation
• Connect Mendix applications to data and AI foundations for rapid, impactful solutions
• Advise C-suite and technical stakeholders on data-to-AI strategy and roadmap
Qualifications:
Required:
• Presales, sales engineering, solution architecture, or technical consulting experience
• Strong understanding of modern data platforms, analytics, and AI/ML pipelines
• Ability to influence executives and guide enterprise-scale AI adoption
• Comfort across cloud, data, AI, and application architectures
Preferred:
• Knowledge of knowledge graphs, semantic tech, graph databases, or data fabrics
• Exposure to RAG, Agentic AI, or enterprise GenAI deployments
Company:
Mendix is a low-code application development platform to create and improve multi-channel applications at scale. It is a sub-organization of Siemens. Founded in 2005, the company is headquartered in Boston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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