Knowledge Graph Solutions Engineer - Data & AI

Siemens

Rotterdam

On-site

EUR 85,000 - 125,000

Full time

9 days ago

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Job summary

Siemens' Mendix team is seeking a Solutions Engineer (Data & Graph) to design and promote knowledge graph solutions that power AI-enabled agentic applications. You will own data and graph architecture workstreams, turning customer work into reusable patterns and contributing to GTM with validated proofs.

The role emphasizes collaboration with product, GTM, engineering, and customers to deliver scalable architectures that underpin AI and agentic platforms.

Qualifications

  • Experience designing and building knowledge graphs and ontologies.
  • Strong graph data modelling and ontology design understanding.
  • Experience with graph databases and queries (SPARQL/Cypher).
  • Data engineering fundamentals: pipelines, prep, and ERP/CRM integration.
  • Translate architectures into reusable patterns with clear narratives.
  • Strong cross-functional collaboration across product, GTM, engineering, and customers.

Responsibilities

  • Design and build knowledge graphs and ontologies for Mendix AI solutions, demos, and customer implementations.
  • Own the data and graph architecture workstream within integrated team solutions.
  • Turn validated customer work into reusable architectures, blueprints, accelerators, and patterns.
  • Contribute to customer engagements and analyst briefings as the data/graph expert.
  • Ground GTM positioning with validated technical proof points and executive demos.

Skills

Knowledge graphs
Ontology design
Graph data modelling
SPARQL/Cypher
Data integration
Communication

Job description

Siemens' Mendix team is seeking a Solutions Engineer (Data & Graph) to design and promote knowledge graph solutions that power AI-enabled agentic applications. You will own data and graph architecture workstreams, turning customer work into reusable patterns and contributing to GTM with validated proofs.

The role emphasizes collaboration with product, GTM, engineering, and customers to deliver scalable architectures that underpin AI and agentic platforms.

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