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Accenture

Advises businesses and runs their technology

Custom Software Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

  • A minimum of 7.5 years of experience is required.
  • Strong understanding of discrete manufacturing processes, including bill of materials and routing management, production order cycles, capacity planning, scheduling, and material requirements planning.
  • Experience integrating SAP Production Planning with Materials Management for material availability, Quality Management for inspection lots, Sales and Distribution for demand, and Finance and Controlling for costing.
  • Familiarity with order confirmations, settlements, and shop-floor data capture processes.
  • Ability to use AI copilots, automated documentation tools, and AI-assisted test accelerators.
  • Ability to embed pre-built AI capabilities into production planning or execution; custom model building is not required.
  • Awareness of responsible AI usage and limitations in manufacturing and planning environments.
  • Strong analytical and problem-solving skills related to production variability, material requirements planning outcomes, and resource planning.
  • Ability to translate manufacturing requirements into scalable SAP Production Planning configurations.
  • Strong communication and collaboration skills across technical and operational teams.
  • A continuous learning mindset and comfort adopting AI-assisted workflows.
  • A minimum of 15 years of full-time education is required.

Responsibilities

  • Design, configure, and enhance SAP Production Planning processes for discrete manufacturing environments, using AI-assisted development tools and copilots to accelerate requirement analysis, configuration, testing, documentation, and issue resolution.
  • Configure and support Material Requirements Planning, production orders and execution, routings, work centers and bills of materials, capacity planning and scheduling, backflushing and costing integration, goods movements, and shop-floor reporting.
  • Use AI copilots to accelerate functional specification creation, routing and bill-of-materials validation, test case generation for material requirements planning, order creation and confirmations, and documentation automation for functional specifications, technical specifications, and standard operating procedures.
  • Support the full delivery lifecycle, including requirements, design, configuration, system integration testing and user acceptance testing, deployment, and hypercare support.
  • Integrate Production Planning with Materials Management, Quality Management, Sales and Distribution, Finance and Controlling, and shop-floor systems such as Manufacturing Execution Systems, leveraging standard application programming interfaces and middleware.
  • Use AI copilots to summarize requirements and change impacts, analyze material requirements planning exceptions and planning alerts, validate order execution and production variances, and isolate defects in bill-of-materials, routing, and work-center configurations.
  • Integrate pre-built AI services into production workflows for predictive insights such as potential material shortages or order delays, intelligent classification of production issues, automated summarization of production batch deviations, and suggestions based on historical production performance.
  • Use large language model-assisted troubleshooting to reduce time spent analyzing material requirements planning exception messages, order failures, and material shortages.
  • 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 Production Planning delivery.
  • Deliver faster, more reliable SAP Production Planning 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.

Desired Qualifications

  • SAP Production Planning certification in S/4HANA Manufacturing.
  • Experience with Manufacturing Execution Systems, shop-floor integrations, or Internet of Things-enabled production data.
  • Exposure to Extended Warehouse Management or Warehouse Management, Plant Maintenance, or Advanced Planning and Optimization/Integrated Business Planning environments.
  • Familiarity with automated testing tools such as Tricentis and Component-Based Test Automation.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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