Custom Software Engineer

Project Role : Custom Software Engineer

Project Role Description : Design, build and configure applications to meet business process and application requirements.

Must have skills : SAP Plant Maintenance (PM), Generative AI

Good to have skills : NA

Minimum 3 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary

You will design, configure, and enhance SAP Plant Maintenance (PM) processes while using AI assisted development tools and copilots to accelerate requirement analysis, configuration, testing, documentation, and troubleshooting. This role supports efficient maintenance execution, work order management, asset reliability, and operational visibility by integrating pre built AI services, without requiring deep AI model development, RAG frameworks, or agentic systems.

Key Responsibilities

PM Functional & Technical Delivery

Configure key PM processes including:

Maintenance Notifications & Work Orders

Preventive & Corrective Maintenance

Task Lists, Maintenance Plans & Strategies

Technical Object Management (Equipment, Functional Locations)

Measurement Points, Counters & Condition-Based Maintenance

Refurbishment & Spare Parts Integration

Use AI copilots to accelerate:

Functional specification writing

Configuration validation and error detection

Test case generation for PM scenarios

Documentation creation (FS, TS, SOPs)

Support end to end delivery: requirements, design, configuration, SIT/UAT, deployment, and hypercare.

Integrate PM with MM, QM, FI/CO, Warehouse, and external systems (IoT/MES/Monitoring Platforms).

AI Assisted Productivity

Apply AI copilots for:

Maintenance data analysis and summarization

Identifying patterns in breakdowns, recurring defects, or maintenance delays

Impact analysis for preventive maintenance or work center updates

Troubleshooting common PM errors (work order failures, scheduling issues)

Integrate pre built AI services, such as:

Predictive maintenance insights from sensor data

Intelligent classification of maintenance notifications

Automated summarization of maintenance history for audits

Smart recommendations for spares, maintenance prioritization, or asset health

Utilize LLM assisted support to reduce resolution time of issues in plans, task lists, notifications, and orders.

Governance, Quality & Collaboration

Ensure maintenance processes adhere to plant safety, audit, compliance, and governance requirements.

Participate in workshops, walkthrough sessions, RCA meetings, and optimization discussions supported by AI generated insights.

Collaborate across maintenance, operations, engineering, procurement, warehouse, and integration teams.

Contribute to reusable templates, test scripts, configuration patterns, and AI enabled best practices.

Required Skills & Experience

SAP PM Expertise

Hands on configuration experience with maintenance notifications, orders, task lists, measurement documents, and maintenance planning.

Understanding of PM MM (spares), PM QM (quality), PM PP (production), and PM FI/CO (costing) integrations.

Familiarity with maintenance execution, priority coding, breakdown analysis, and operational reporting.

AI Ready Skills

Experience using AI copilots, automated documentation tools, and AI assisted test accelerators.

Ability to embed pre built AI capabilities (not custom AI model creation) into maintenance workflows for forecasting, classification, or summarization.

Understanding of responsible AI usage in operational and safety sensitive environments.

General Professional Skills

Strong analytical and problem solving skills related to maintenance processes.

Ability to translate operational maintenance requirements into scalable SAP PM configurations.

Effective communication and collaboration skills across operational and technical teams.

Continuous learning mindset and comfort working with AI assisted productivity tools.

Good to Have

SAP PM Certification.

Experience with IoT based maintenance, equipment sensors, or integration with predictive maintenance tools.

Exposure to EAM (Enterprise Asset Management) or mobile maintenance apps.

Familiarity with automated testing tools such as Tricentis.

Outcome Expectations

Deliver faster, higher quality SAP PM solutions using AI assisted productivity.

Improve maintenance efficiency, asset reliability, and plant uptime.

Act as a bridge between maintenance teams, SAP engineering teams, and AI native experts when deeper AI insights are required.

Additional Information:

15 years full time education is required., 15 years full time education