Solution Engineer – Data & AI

Stellenbeschreibung:

Responsibilities

  • You design integration projects for our clients and introduce innovative solutions into complex enterprise architectures.
  • Developing future‑proof API strategies in demanding integration scenarios is one of your strengths.
  • Requirements analysis, designing scalable solutions, and implementing high‑performance integration and process architectures are part of your responsibilities.
  • You drive business process optimization together with business units and IT teams of our clients.
  • You implement AI‑driven end‑to‑end processes, thereby setting new standards for intelligent automation.
  • Creating guidelines and best practices for sustainable and innovative solution approaches rounds out your responsibilities.
  • As a trusted point of contact, you guide clients through all project phases and ensure smooth implementation.

Requirements

  • A completed degree, for example in Computer Science, Information Systems, or a comparable field.
  • At least five years' experience in IT consulting and integration projects, ideally with a focus on Enterprise Application Integration.
  • Very good knowledge of integration solutions such as MuleSoft Anypoint Platform or comparable EAI tools (e.g., webMethods, TIBCO).
  • Experience integrating AI services (LLMs, ML models) and a solid understanding of modern AI architecture patterns such as AI‑as‑a‑Service, agent‑based architectures, or MCP.
  • Integration knowledge of common ERP, CRM, PIM, and/or other systems.
  • A MuleSoft certification is desirable.
  • Knowledge of Java and solid expertise in RESTful API design.
  • Additional experience with interface technologies such as SOAP, WSDL, and with databases (SQL, Oracle, etc.).
  • Independent working style combined with team spirit and strong communication skills.
  • Very good German and good English skills, both written and spoken.

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Stelleninformationen

  • Veröffentlichungsdatum:

    30 Jul 2026
  • Standort:

    Frankfurt
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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