Industry: Catering and industrial sector
Number of employees: approx. 8500
Reference number: V63YVV86
Key Facts: SAP BTP, SAP CPI, SAP S/4HANA & Azure AI, SAP API Management, Fiori/SAPUI5, in Aarburg/home office.
Main tasks Design and implement integration solutions using SAP BTP, including CPI iFlows, OData/REST APIs, and event-driven architectures
Develop modern SAP Fiori Elements applications leveraging SAPUI5, RAP, CAP, and CDS Views
Integrate Azure AI Foundry with SAP S/4HANA through SAP API Management for intelligent workflows
Build FastMCP servers and agent-based AI pipelines to process SAP data and generate actionable insights
Support the development of data pipelines and machine learning deployments within Azure Databricks (guidance provided where needed)
Apply Clean Core principles by using approved extension points and side-by-side extensions only
Take end-to-end ownership of development deliverables, including CI/CD pipelines, automated testing, and technical documentation
Focus on production-grade AI systems embedded directly into SAP business processes
Development of MCP servers connecting Azure OpenAI with SAP via OData services and custom iFlows
Creation of Copilot Studio agents within Microsoft Teams, enabling automated SAP interactions such as BAPI-based write-backs through SAP CPI
Your qualifications Degree in Computer Science, Business Informatics, or a comparable field
Practical experience with SAP BTP, SAP CPI, or SAP Fiori / SAPUI5 through academic, personal, or experimental projects
Strong understanding of REST and OData APIs, including the ability to interpret and troubleshoot JSON payloads
Programming experience in Python or JavaScript/TypeScript, with a focus on hands‑on development
Interest in artificial intelligence topics such as large language models, retrieval‑augmented generation, prompt engineering, or agent frameworks
Proficiency in English; German language skills considered advantageous
Experience with Azure AI Foundry or Azure OpenAI services is an advantage
Optional: Familiarity with Copilot Studio, Power Automate, or Microsoft Teams integrations
Knowledge of Azure Databricks, Delta Lake, or Apache Spark and experience with Docker, Git, and CI/CD pipelines is an advantage
#J-18808-Ljbffr