Solutions Engineer (Core AI)
Role details
Job location
Tech stack
Job description
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 implement customer-facing prototypes and lighthouse implementations to validate high-value AI and integration use cases.
-
Lead strategic workshops and technical deep dives with customers and field teams, especially for agentic AI workflows and complex integrations.
-
Turn validated customer work into reusable assets: reference architectures, blueprints, accelerators, and repeatable patterns.
-
Serve as the deep technical owner for agentic system design, including tool use, orchestration, and multi-agent patterns.
-
Design and maintain complex integration architectures across enterprise platforms and data systems.
-
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 agentic AI systems in production-realistic environments (tool use/function calling, orchestration/planning, multi-agent patterns where appropriate).
-
Strong practical knowledge of LLM application architecture, including retrieval (RAG), grounding, prompt/system design, and structured outputs.
-
Experience implementing evaluation and reliability loops (test harnesses, offline/online evals, monitoring, feedback, iteration) and guardrails (safety, policy, data controls).
-
Proven ability to integrate agentic workflows with enterprise systems and data (APIs, events, identity, governance) and to design complex integration architectures.
-
Strong background in system architecture and end-to-end solution delivery (security, scalability, reliability, observability, deployment readiness).
-
Experience with enterprise platforms and ecosystems (Siemens stack a plus), data platforms, and modern AI tooling.
-
Ability to translate complex technical capabilities into reusable patterns, reference architectures, and clear technical narratives for GTM and customer contexts.
-
Strong communication and collaboration skills across Product, GTM, engineering, and customer stakeholders.
-
Mendix experience is a plus.
What Success Looks Like
-
Lighthouse customer implementations that prove value, de-risk adoption, and generate validated technical proof points.
-
Packaged assets (patterns, blueprints, components, playbooks) reused across GTM and adopted by Services/partners for repeatable delivery.
-
Reliable, scalable demo and workshop environments that consistently showcase complex AI/data/integration scenarios.