Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design code and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable high-performing solutions tailored to specific business needs. Must have skills : SAP PP Production Planning & Control Discrete Industries Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary AI Powered Tech Talent. You will design configure and enhance SAP Production Planning (PP) processes for discrete manufacturing environments while using AI assisted development tools and copilots to accelerate requirement analysis configuration testing documentation and issue resolution. The role focuses on delivering efficient production planning shop floor execution and material staging processes while integrating pre built AI services where beneficial. No deep AI model engineering vector DB work RAG or agentic system development is required. Key Responsibilities Functional & Technical Delivery Configure and support SAP PP processes including: oMaterial Requirement Planning (MRP) oProduction Orders & Execution oRoutings Work Centers & BOM Management oCapacity Planning & Scheduling oBackflushing & Costing Integration oGoods Movements & Shop floor Reporting Use AI copilots to accelerate: oFunctional specification creation oRouting/BOM validation oTest case generation for MRP order creation confirmations oDocumentation automation (FS/TS/SOPs) Support full lifecycle delivery: requirements design configuration SIT/UAT deployment hypercare support. Integrate PP with MM QM SD FI/CO and shop floor systems (MES) leveraging standard APIs and middleware. AI Assisted Productivity Use AI copilots for: oAutomated summarization of requirements and change impacts oAnalysis of MRP exceptions and planning alerts oValidation of order execution and production variances oFaster defect isolation in BOM/routing/work center configurations Integrate pre built AI services into production workflows such as: oPredictive insights (e.g. potential material shortages or order delays) oIntelligent classification of production issues oAutomated summarization of production batch deviations oSmart suggestions based on historical production performance Use LLM assisted troubleshooting to reduce time spent analyzing MRP exception messages order failures and material shortages. Governance Quality & Collaboration Ensure compliance with production governance change controls data accuracy standards and audit policies. Participate in workshops solution reviews and process optimization discussions enhanced by AI generated insights. Collaborate with production quality warehouse procurement cost controlling and integration teams to deliver end to end planning excellence. Create reusable templates checklists test packs and AI enabled best practices for SAP PP delivery. Required Skills & Experience SAP PP Expertise Strong understanding of discrete manufacturing processes including BOM/routing management production order cycles capacity planning scheduling and MRP. Experience with integration across MM (material availability) QM (inspection lots) SD (demand) and FI/CO (costing). Familiarity with order confirmations settlements and shop floor data capture processes. AI Ready Skills Ability to use AI copilots automated documentation tools and AI assisted test accelerators. Comfortable embedding pre built AI capabilities into production planning or execution (not custom model building). Awareness of responsible AI usage and limitations in manufacturing and planning environments. General Professional Skills Strong analytical and problem solving skills related to production variability MRP outcomes and resource planning. Ability to translate manufacturing requirements into scalable SAP PP configurations. Strong communication and collaboration skills across technical and operational teams. Continuous learning mindset with comfort adopting AI assisted workflows. Good to Have SAP PP Certification (S/4HANA Manufacturing). Experience with MES systems shop floor integrations or IoT enabled production data. Exposure to EWM/WM PM or APO/IBP environments. Familiarity with automated testing tools (Tricentis CBTA). Outcome Expectations Deliver faster more reliable SAP PP solutions using AI enabled productivity tools. Improve planning accuracy resource utilization and production stability. Act as a bridge between manufacturing teams SAP engineering teams and AI native experts when deeper AI capabilities are required. Additional Information A 15 years full time education is required.
Employment Type : Full Time Experience: years Vacancy: 1
SAP PP Production Planning & Control Discrete Industries • Hyderabad, Sindh, Pakistan