We are seeking a Custom Software Engineer to design, code, and enhance system components using modern frameworks and agile practices. This role focuses on delivering scalable, high-performing solutions tailored to specific business needs.

In this position, you will leverage AI-assisted development tools and copilots to streamline various aspects of SAP Materials Management (MM). This includes accelerating requirement analysis, configuration, testing, documentation, and problem resolution. The goal is to ensure efficient procurement, inventory management, and supplier collaboration by integrating pre-built AI capabilities to boost productivity.

Configure and optimize SAP MM processes, including Procure-to-Pay (P2P), Purchase Requisition/Order Management, Source List & Quota Arrangements, Vendor Management, Inventory Management, Material Master Data, and Release Strategies.

Utilize AI copilots to generate functional specifications, validate configuration logic, create test cases, and automate documentation. Support end-to-end delivery from requirements gathering to hypercare, integrating MM with other SAP modules (SD, FI, PP, QM) and external systems.

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 classification, predictive signals, and intelligent summarization of exceptions. Employ LLM-assisted troubleshooting to reduce incident resolution times.

A strong understanding of SAP MM processes, including P2P flows, vendor evaluation, and inventory management, is essential. Experience configuring material master, vendor master, PO/PR processing, goods movements, and release strategies is required. Familiarity with integrations across SD, FI, PP, and QM, as well as knowledge of IDocs, outputs, pricing procedures, and common 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 key. A solid understanding of responsible AI usage, data quality impacts, and AI limitations within procurement contexts is also important.

This role demands strong analytical and problem-solving skills in procurement and material management scenarios, with the ability to translate business requirements into scalable SAP MM configurations. Clear communication and collaboration skills across functional business teams, coupled with a continuous learning mindset and comfort adopting AI-enabled productivity tools, are vital for success.