Neura Robotics is expanding its existing ERP team into a full Enterprise Application Team. With a growing system landscape: Business Central as the ERP core, CRM, Business Intelligence, AI integration, and MES and PLM in the future, we need someone to actively shape the architecture of that landscape: set standards, interlock integrations cleanly, and prevent fast "vibe coding" from turning into uncontrolled shadow IT. You define the guardrails without becoming an approval gate that slows the company down.
Your Mission & Challenges
Reference architectures & guidelines: You develop and maintain binding standards for how systems at Neura may be connected to each other: when a middleware layer makes sense and when a direct connector solution is sufficient.
Technical sparring: You are the early point of contact for the team when new integrations or tools are being planned, as a sparring partner, not an approval authority.
System landscape overview: You maintain a living overview of systems and data flows: ERP (Business Central), CRM, BI, AI applications, and eventually MES and PLM: who accesses what, and where redundancies or dependencies arise.
Technology assessment: You evaluate new tools and technologies from an architectural perspective before they are introduced, to avoid uncontrolled connections into the core system.
AI & digitalization strategy: You work closely with the ERP AI Engineer and the Digital Transformation role, bringing the architectural perspective into the company's AI strategy.
Your Profile
Several years of experience building and evolving enterprise architectures in heterogeneous system landscapes
Experience with multiple application types (e.g. ERP, CRM, BI, MES, PLM) is an advantage: in-depth Business Central knowledge is not required, as this is already covered within the team
Solid understanding of integration patterns, middleware concepts, and API architectures
Hands-on skills, e.g. implementing integrations independently, are a plus but not a must
Strong pragmatism: you prefer a good, secure solution over a theoretically perfect architecture
Strong communication and persuasion skills: you establish standards without relying on hierarchy
A sense for when standardization is necessary and when it would only slow down day-to-day business
Skills Required
- Several years of experience building and evolving enterprise architectures in heterogeneous system landscapes
- Solid understanding of integration patterns, middleware concepts, and API architectures
- Strong pragmatism and ability to select secure, practical architectural solutions
- Strong communication and persuasion skills for establishing standards without relying on hierarchy
- Ability to judge when standardization is necessary versus when it would slow business operations
- Experience with multiple application types such as ERP, CRM, BI, MES, or PLM
- Hands-on ability to implement integrations independently
What We Do
NEURA Robotics is a German high-tech company founded in 2019 in Metzingen near Stuttgart with the vision to revolutionize the world of robotics. More than 180 team members from over 30 countries are working on advanced technologies in the fields of environmental perception, drive and control technology, material science, mechanical design, and artificial intelligence. We are expanding the cognitive capabilities of robots and make breakthrough advances in a variety of areas to bring robots and humans closer together, making many areas of work more attractive, creative, and social again. That's why everything we do runs under the guiding principle "we serve humanity". In a very short period of time, NEURA Robotics has developed robots and technologies that are characterized above all by their outstanding performance as well as safe and human-centred way of working. In this way, a wide variety of application fields can be covered, from intelligent production to medical technology. All major robot components are developed and designed in-house. Imprint: https://www.neura-robotics.com/legal Privacy: https://www.neura-robotics.com/privacy









