This role focuses on developing custom software solutions using modern frameworks and agile practices to enhance SAP Materials Management (MM) processes. You will leverage AI-assisted development tools to accelerate requirement analysis, configuration, testing, documentation, and problem resolution, ensuring streamlined procurement and inventory management. The position integrates pre-built AI capabilities to boost productivity without requiring deep involvement in core AI development.

Configure and optimize MM processes including Procure-to-Pay (P2P), Purchase Requisition/Order Management, Source List & Quota Arrangements, Vendor Management, Inventory Management, and Material Master Data. Utilize AI copilots for generating functional specifications, validating configuration logic, creating test cases, and automating documentation. Support end-to-end delivery from requirements gathering to hypercare, and integrate MM with SD, FI, PP, QM, and external systems. Apply AI tools to accelerate requirement interpretation, data validation, error diagnostics, test creation, and document generation. Integrate pre-built AI services for automated classification, predictive signals, and intelligent summarization of exceptions. Use LLM-assisted troubleshooting to reduce incident resolution time. Ensure compliance with procurement governance and operational controls, and collaborate with various teams to deliver cohesive MM solutions.

A strong understanding of SAP MM processes, including P2P flows, vendor evaluation, and inventory management, is essential. Experience in configuring material master, vendor master, PO/PR processing, goods movements, and release strategies is required. Familiarity with integrations across SD, FI, PP, and QM, along with knowledge of IDocs, outputs, and common MM troubleshooting patterns, is necessary. Hands-on experience with AI copilots, LLM-powered documentation tools, and AI-assisted testing accelerators is crucial. The ability to integrate pre-built AI capabilities into MM workflows for automation and insight generation is expected. Strong analytical, problem-solving, and clear communication skills are vital. A continuous learning mindset with comfort in adopting AI-enabled productivity tools is important. A 15-year full-time education is a mandatory requirement.