This role involves developing custom software solutions, focusing on designing, coding, and enhancing system components. You will leverage modern frameworks and agile methodologies to deliver scalable, high-performing solutions tailored to specific business needs. The position emphasizes utilizing AI-assisted development tools and copilots to streamline requirement analysis, configuration, testing, documentation, and problem resolution.

Key responsibilities include configuring and optimizing SAP Materials Management (MM) processes such as Procure-to-Pay (P2P), Purchase Requisition/Order Management, Vendor Management, and Inventory Management. You will integrate MM with other SAP modules (SD, FI, PP, QM) and external systems using standard APIs and middleware. The role also focuses on applying AI tools to accelerate various aspects of the development lifecycle, from requirement interpretation and design to error diagnostics and document generation.

Configure and optimize SAP MM processes, including Procure-to-Pay (P2P), Purchase Requisition/Order Management, Vendor Management, and Inventory Management. Utilize AI copilots to generate functional specifications, validate configuration logic, and create high-quality test cases. Support end-to-end delivery, encompassing requirements gathering, solution design, configuration, SIT/UAT, deployment, and hypercare. Integrate MM with SD, FI, PP, QM, and external supplier systems using standard APIs, IDocs, and middleware. Apply AI tools to accelerate requirement interpretation, process design, data validation, error diagnostics, and test creation. Integrate pre-built AI services to enhance MM operations, such as automated material classification or predictive signals for low stock. Ensure compliance with procurement governance, audit policies, and operational controls. Collaborate with procurement, warehouse, finance, production, and QM teams to deliver cohesive MM solutions.

A strong understanding of SAP MM processes, including P2P, purchasing document flows, vendor evaluation, and inventory management is essential. You should have experience configuring material master, vendor master, PO/PR processing, goods movements, and release strategies.

Proficiency in utilizing AI copilots, LLM-powered documentation tools, and AI-assisted testing accelerators is required. The ability to integrate pre-built AI capabilities into MM workflows for automation and insight generation is crucial. Familiarity with responsible AI usage and data quality impacts is also necessary.

Excellent analytical and problem-solving skills in procurement and material management scenarios are expected. The ability to translate business requirements into logical, scalable SAP MM configurations, coupled with clear communication and collaboration skills, is vital. A continuous learning mindset and comfort with adopting AI-enabled productivity tools are key.