At a Glance
- Tasks: Design and build knowledge graphs for AI solutions and customer implementations.
- Company: Mendix, a Siemens business, leading in low-code and AI technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Join a dynamic team with a focus on cutting-edge technology and career advancement.
- Why this job: Be at the forefront of AI and data innovation, making a real impact.
- Qualifications: Experience in graph data modelling and strong communication skills required.
The predicted salary is between 81000 - 99000 £ per year.
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.
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Solutions Engineer employer: Siemens AG
Siemens AG's Tessent division is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the field of technology enablement. Employees benefit from comprehensive growth opportunities, including professional development programs and the chance to work on cutting-edge solutions in a supportive environment. Located in a vibrant tech hub, the company provides unique advantages such as access to industry-leading resources and a network of talented professionals, making it an ideal place for those seeking meaningful and rewarding careers.
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We think you need these skills to ace Solutions Engineer
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