AI Engineer with SAP

• Proven experience with Eclipse ABAP Development Tools, the RAP model, and publishing OData V4 APIs.
• Strong background in building agentic frameworks (e.g., LangGraph) and utilizing MCP-based architectures.
• Proficiency in SAP data models, OData services, and Function Modules.
• Hands-on experience operating AI workloads within AWS or Azure environments.
• Practical experience building AI agent interfaces via Vercel AI SDK or CopilotKit.
• Understanding of SAP Basis concepts and incident management processes (including ServiceNow integration).
• Strong problem-solver capable of navigating the intersection of cloud, AI, and SAP domains.

Preferred Qualifications:

• Previous experience in Agile or DevOps environments.
• Familiarity with secure AI deployment and enterprise governance.
• History of building AI solutions specifically for SAP Managed Services or forensic/diagnostic use cases.

• Design and execute SAP integrations utilizing CDS views, Function Modules, and OData services.
• Use modern frameworks like Model Context Protocol and LangGraph to build intelligent agents tailored for SAP environments.
• Enable and manage AI workloads on Azure or AWS, ensuring scalability and secure deployment.
• Craft the AI agent interaction layer using Vercel AI SDK, CopilotKit, or similar tools.
• Connect AI solutions with incident management workflows (e.g., ServiceNow) to streamline triage and resolution.
• Partner with SAP Basis teams on performance and access management.
• Work alongside Technical Product Managers to ship production-ready tools.
• Develop MCP-based integrations and AI coding assets to support the AI SDLC for SAP.
• Work directly with SAP data structures for precise context retrieval.