Join our team as a Custom Software Engineer focused on Packaged Application Development. You'll be instrumental in designing, coding, and enhancing system components using modern frameworks and agile methodologies. This role emphasizes delivering scalable, high-performing solutions tailored to specific business needs, with a strong focus on SAP MM Materials Management.

Leverage AI-powered tools and copilots to streamline development processes, from requirement analysis and configuration to testing and problem resolution. The objective is to optimize procurement, inventory management, and supplier collaboration while integrating AI capabilities to boost productivity, without requiring direct involvement in complex AI model development.

Configure and optimize SAP Materials Management (MM) processes, including Procure-to-Pay (P2P), Purchase Requisition/Order Management, Source Lists, Vendor Management, Inventory Management, Material Master Data, and Release Strategies. Utilize AI copilots to generate functional specifications, validate configurations, create test cases, and automate documentation. Support end-to-end delivery encompassing requirement gathering, solution design, configuration, SIT/UAT, deployment, and hypercare. Integrate MM with SD, FI, PP, QM, and external systems using standard APIs, IDocs, and middleware. Apply AI tools to accelerate requirement interpretation, data validation, error diagnostics, test creation, and document generation. Integrate pre-built AI services for enhanced MM operations, such as automated classification and predictive signaling. Employ LLM-assisted troubleshooting to reduce incident resolution times. Ensure compliance with procurement governance, audit policies, and material master standards. Participate in process optimization discussions, supported by AI-generated insights. Collaborate with various teams, including procurement, warehouse, finance, and production, to deliver cohesive MM solutions. Contribute reusable templates and AI-augmented best practices for MM configuration and testing.

A strong foundation in SAP MM Materials Management is essential, with a deep understanding of P2P processes, purchasing document flows, vendor evaluation, and inventory management. Demonstrated experience in configuring material master, vendor master, PO/PR processing, goods movements, and release strategies is required. Familiarity with integrations across SAP modules like SD, FI, PP, and QM is necessary. Knowledge of 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 crucial. Ability to integrate pre-built AI capabilities into MM workflows for automation and insight generation is key. Understanding of responsible AI usage, data quality impacts, and AI limitations in procurement contexts is important. Excellent analytical and problem-solving skills within procurement and material management scenarios are required. Ability to translate business requirements into logical, scalable SAP MM configurations is expected. Clear communication and collaboration skills across functional business teams are essential. A continuous learning mindset with comfort adopting AI-enabled productivity tools is necessary.