Custom Software Engineer
Hyderabad
Job No. atci-5208638-s1910395
Full-time
工作描述
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.
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.
职位要求
15 years full time education
