Spearhead the development of custom software solutions, meticulously designing, coding, and enhancing components across diverse systems and applications. This role champions modern frameworks and agile methodologies to deliver scalable, high-performance solutions precisely tailored to specific business requirements. You will leverage AI-powered technology talent, focusing on designing, configuring, and enhancing SAP Materials Management (MM) processes. Utilize AI-assisted development tools and copilots to expedite requirement analysis, configuration, testing, documentation, and problem resolution, ensuring optimized procurement, inventory management, and supplier collaboration.

Configure and optimize critical MM processes, including Procure-to-Pay (P2P), Purchase Requisition/Order Management, Source Lists, Vendor Management, Inventory Management, and Material Master Data. Employ AI copilots to generate functional specifications, validate configuration logic, create high-quality test cases, and automate documentation. Support end-to-end delivery from requirements gathering to hypercare. Integrate MM with other SAP modules (SD, FI, PP, QM) and external systems using standard APIs and middleware. Apply AI tools to accelerate requirement interpretation, process design, data validation, error diagnostics, test creation, and document generation. Integrate pre-built AI services for enhanced MM operations, such as automated material classification and predictive signals. Utilize LLM-assisted troubleshooting to reduce incident resolution times. Ensure compliance with procurement governance and audit policies. Collaborate with cross-functional teams to deliver cohesive MM solutions and contribute reusable best practices.

Possess strong SAP MM expertise, including a deep understanding of P2P processes, vendor evaluation, and inventory management. Demonstrate experience in configuring material master, vendor master, PO/PR processing, goods movements, and release strategies. Familiarity with integration across SAP SD, FI, PP, and QM is essential. Knowledge of IDocs, outputs, pricing procedures, and common MM troubleshooting patterns is required. Hands-on experience with AI copilots, LLM-powered documentation tools, and AI-assisted testing accelerators is crucial. Ability to integrate pre-built AI capabilities into MM workflows for automation and insight generation is key. Strong analytical and problem-solving skills in procurement and material management scenarios are necessary. Translate business requirements into logical, scalable SAP MM configurations. Clear communication and collaboration skills across functional business teams are expected. A continuous learning mindset with comfort adopting AI-enabled productivity tools is vital. A minimum of 3 years of experience is mandatory, with a preference for 2-5 years. A 15-year full-time education is required.