Stellenangebot: Solutions Engineer bei Siemens AG

Solutions Engineer (Data & Graph)
About the Role

Mendix, a Siemens business, powers hybrid agentic workforces by enabling
organizations to build, scale and orchestrate agents and applications faster by
combining low-code, AI, data, and integrations into a unified platform.
The Technical Solutions Marketing team builds technical
credibility for Mendix through validated architectures, reusable proof points,
and real-world implementations. In this role, you will work directly with
customers and the field to prove high-value use cases through lighthouse
implementations, then package what works into reusable patterns, components,
and technical narratives that scale across GTM and delivery ecosystems.

Responsibilities

• Design
  and build knowledge graphs and ontologies that underpin Mendix's AI
  solutions, technical demos, and customer implementations.
• Own
  the data and graph architecture workstream within integrated team
  solutions, working alongside Solutions Engineers who cover the application
  and AI layers.
• Turn
  validated customer work into reusable assets: reference architectures,
  blueprints, accelerators, and repeatable patterns.
• Contribute
  to customer engagements, events, and analyst briefings as the team's
  expert in data and graph.
• Ground
  GTM positioning and storytelling in validated technical proof points,
  supporting high-impact moments like executive demos and analyst briefings.

Requirements

• Demonstrable
  hands-on experience designing and building knowledge graphs and
  ontologies.
• Strong
  understanding of graph data modelling, semantic modelling, and ontology
  design.
• Experience
  with graph database platforms and query languages (e.g. SPARQL, Cypher, or
  equivalent).
• Data
  engineering fundamentals: pipelines, data preparation, and integration
  with enterprise systems (ERP, CRM, operational systems).
• Ability
  to translate data and graph architectures into reusable patterns and clear
  technical narratives.
• Strong
  communication and collaboration skills across Product, GTM, engineering,
  and customer stakeholders.

Note: This is not a data analyst or business
intelligence role. The focus is graph data, knowledge modelling, and how that
layer supports AI and agentic applications.
What Success Looks Like

• Knowledge
  graph demos and reference architectures that hold up in customer and
  analyst sessions and are ready to reuse across the team.
• Recognised
  as the team's go-to on data and graph in customer engagements.
• Packaged
  architectures adopted by the team and reused across go-to-market and
  delivery.
• Implementation
  learnings feeding product direction and positioning in a consistent way.

Why this role
This role sits at the foundation of agentic enterprise
solutions are grounded in real data, and plays a central part in how knowledge
graph architectures are proven, packaged, and scaled.
You will design the graph layer that gives AI agents
structured context and memory at enterprise scale, work alongside the
application and AI Solutions Engineers to take those implementations in front
of customers and analysts, and feed what you learn back into Product and Go To
Market teams.