AI Engineer with SAP

O projekcie: In this role, you will focus on architecting enterprise-grade AI agents that integrate with SAP to automate diagnostics, optimize service delivery, and boost operational efficiency. The successful candidate will bring a unique blend of AI engineering prowess and deep SAP technical knowledge. Wymagania: - SAP Technical Mastery: Proven experience with Eclipse ABAP Development Tools, the RAP model, and publishing OData V4 APIs. - AI & LLM Expertise: Strong background in building agentic frameworks (e.g., LangGraph) and utilizing MCP-based architectures. - Technical Core: Proficiency in SAP data models, OData services, and Function Modules. - Cloud & Infrastructure: Hands-on experience operating AI workloads within AWS or Azure environments. - Experience Layers: Practical experience building AI agent interfaces via Vercel AI SDK or CopilotKit. - Service Knowledge: Understanding of SAP Basis concepts and incident management processes (including ServiceNow integration). - Mindset: A 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. Codzienne zadania: - System Integration: Design and execute SAP integrations utilizing CDS views, Function Modules, and OData services. - AI Agent Development: Use modern frameworks like Model Context Protocol and LangGraph to build intelligent agents tailored for SAP environments. - Cloud Operations: Enable and manage AI workloads on Azure or AWS, ensuring scalability and secure deployment. - Front-End Experience: Craft the AI agent interaction layer using Vercel AI SDK, CopilotKit, or similar tools. - Process Automation: Connect AI solutions with incident management workflows (e.g., ServiceNow) to streamline triage and resolution. - Collaborative Engineering: Partner with SAP Basis teams on performance and access management, and work alongside Technical Product Managers to ship production-ready tools. - Data & Tooling: Develop MCP-based integrations and AI coding assets to support the AI SDLC for SAP while working directly with SAP data structures for precise context retrieval.