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SAP Asset Management

Accenture


Job Location:

Hyderabad - Pakistan

Monthly Salary: Not provided by the employer
Posted: 8 September 2026 (11 hours ago)
Application Deadline: 6 December 2026
Vacancies: 1 Vacancy

Job Summary

Project Role : Custom Software Engineer
Project Role Description : Design build and configure applications to meet business process and application requirements.
Must have skills : SAP Asset Management Generative AI
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 Asset Management solutions while leveraging AI assisted development tools and copilots to accelerate configuration documentation analysis and testing. This role focuses on delivering enterprise grade asset management capabilities integrating pre built AI services into workflows where beneficial and improving productivity through AI enabled assistancenot through custom AI model development or agentic system building.
Key Responsibilities
Functional & Technical Delivery
oConfigure and enhance SAP Asset Management processes including maintenance planning work order management notifications master data and integration with procurement inventory and plant operations.
oUse AI copilots to generate functional specs validate configuration create test scenarios and automate recurring documentation tasks.
oConduct end to end delivery: requirement gathering solution design configuration testing deployment and hypercare.
oIntegrate SAP Asset Management with related modules (PM MM QM FI/CO) and external systems using standard APIs and integration frameworks.
AI Assisted Productivity
oUtilize AI assisted tools to speed up:
oImpact analysis
oData validation
oError diagnosis
oTest case creation
oSolution documentation
oIntegrate pre-built AI capabilities (e.g. predictive maintenance signals smart task classification anomaly detection) into asset workflows where relevant.
oUse copilots for configuration reviews and optimization suggestions.
Governance Quality & Collaboration
oEnsure SAP solutions comply with enterprise data quality audit and maintenance governance standards.
oParticipate in workshops solution walkthroughs root cause analysis and continuous improvement discussions.
oCollaborate across engineering maintenance procurement and operations teams to ensure end to end alignment.
oContribute to reusable templates checklists configuration patterns and AI enabled best practices for SAP AM delivery.
Required Skills & Experience
SAP Asset Management Expertise
oStrong hands on experience with SAP Asset Management / Plant Maintenance (PM) including:
oPreventive & corrective maintenance
oWork order lifecycle
oMaintenance planning & scheduling
oEquipment/task list/master data
oMaintenance notifications and reporting
oFamiliarity with cross module integrations (MM QM FI/CO) and maintenance related data structures.
AI Ready Skills
oPractical experience using AI copilots LLM based assistants and automated documentation or testing accelerators.
oAbility to incorporate pre built AI services (predictive insights anomaly detection recommendations) into SAP AM processes.
oUnderstanding of AI tool limitations responsible AI use and when to escalate to AI native or data science teams.
General Skills
oStrong analytical and problem solving skills related to asset lifecycles and maintenance workflows.
oAbility to translate maintenance and operations requirements into robust SAP configurations.
oClear communication documentation and stakeholder management skills.
oContinuous learning mindset with openness to AI enabled productivity improvements.
Good to Have
oSAP certifications in Asset Management / PM.
oExperience with mobile maintenance applications IoT data sources or sensor based integrations.
oExposure to cloud platforms (Azure/AWS) for maintenance analytics integrations.
oFamiliarity with testing automation tools.
Outcome Expectations
oDeliver faster more reliable asset management solutions using AI assisted development.
oImprove maintenance efficiency data accuracy and operational uptime.
oAct as a connector between maintenance teams SAP engineering teams and AI native teams when deeper AI is required.
Additional Information:
o15 years full time education is required.

About Company

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