Agentic application patterns using frameworks such as LangChain, LangGraph, CrewAI, MCP servers/clients, or similar.
Integrating AI into enterprise applications using CAP, APIs, events, process automation, or BTP services.
Building AI-enabled solutions for SAP use cases such as finance operations, procurement, supply chain, customer service, exception handling, document processing, or process monitoring.
Responsibilities Duties:
Deep hands-on expertise with IAS, IPS, XSUAA, and enterprise identity patterns.
Experience with SAP Integration Suite, API Management, and Cloud Integration.
Experience with SAP Event Mesh, Advanced Event Mesh, Workflow Management, or SAP Build Process Automation.
Understanding of cloud-native architecture, Kubernetes, Kyma, containers, and event-driven design.
Knowledge of S/4HANA data models, released APIs, extensibility models, and clean core constraints.
Experience building reusable accelerators, technical demos, or customer-facing prototypes.
Experience in consulting, technical pre-sales, customer engineering, or solution architecture.
Familiarity with CI/CD, Git-based delivery, DevOps practices, and cloud application lifecycle management.