Join our team as a Custom Software Engineer focused on SAP MM. This role involves designing, coding, and enhancing components within SAP systems to deliver scalable, high-performing solutions. You will leverage modern frameworks and agile practices to meet specific business needs, with a strong emphasis on SAP MM Materials Management.

This position offers the opportunity to work with AI-assisted development tools to accelerate various project phases, from requirement analysis and configuration to testing, documentation, and problem resolution. The goal is to streamline procurement, inventory management, and supplier collaboration by integrating pre-built AI capabilities for enhanced productivity.

Configure and optimize SAP Materials Management (MM) processes, including Procure-to-Pay (P2P), Purchase Requisition/Order Management, Vendor Management, and Inventory Management. Utilize AI copilots to generate functional specifications, validate configurations, create test cases, and automate documentation. Support end-to-end project delivery, from requirements gathering to hypercare. Integrate MM with other SAP modules (SD, FI, PP, QM) and external systems using standard APIs. Apply AI tools to accelerate requirement interpretation, process design, data validation, error diagnostics, and test creation. Enhance MM operations by integrating pre-built AI services for automated classification, predictive signals, and intelligent summarization of issues. Ensure compliance with procurement governance and operational controls. Collaborate with cross-functional teams to deliver cohesive MM solutions. Contribute reusable templates and AI-augmented best practices.

A strong understanding of SAP MM Materials Management is essential, including P2P processes, purchasing document flows, vendor evaluation, and inventory management. Experience configuring material master, vendor master, PO/PR processing, goods movements, and release strategies is required. Familiarity with integrating SAP MM with SD, FI, PP, and QM modules is necessary. Proficiency with IDocs, outputs, pricing procedures, and common MM troubleshooting patterns is expected. Hands-on experience with AI copilots, LLM-powered documentation tools, and AI-assisted testing accelerators is a must. Ability to integrate pre-built AI capabilities into MM workflows for automation and insight generation is crucial. Strong analytical and problem-solving skills in procurement and material management scenarios are required. Clear communication and collaboration skills are vital for working effectively with business teams. A continuous learning mindset and comfort adopting AI-enabled productivity tools are essential.