Custom Software Engineer
Packaged Application Development Senior Analyst
|
Full time
|
Experience: 2-5 years
ジョブ番号 ATCI-5208579-S1910369
|
Jaipur
|
Required Skill: SAP Asset Management,Generative AI
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 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 assistance—not through custom AI model development or agentic system building.
Key Responsibilities
Functional & Technical Delivery
o Configure and enhance SAP Asset Management processes including maintenance planning, work order management, notifications, master data, and integration with procurement, inventory, and plant operations.
o Use AI copilots to generate functional specs, validate configuration, create test scenarios, and automate recurring documentation tasks.
o Conduct end to end delivery: requirement gathering, solution design, configuration, testing, deployment, and hypercare.
o Integrate SAP Asset Management with related modules (PM, MM, QM, FI/CO) and external systems using standard APIs and integration frameworks.
AI Assisted Productivity
o Utilize AI assisted tools to speed up:
o Impact analysis
o Data validation
o Error diagnosis
o Test case creation
o Solution documentation
o Integrate pre-built AI capabilities (e.g., predictive maintenance signals, smart task classification, anomaly detection) into asset workflows where relevant.
o Use copilots for configuration reviews and optimization suggestions.
Governance, Quality & Collaboration
o Ensure SAP solutions comply with enterprise data quality, audit, and maintenance governance standards.
o Participate in workshops, solution walkthroughs, root cause analysis, and continuous improvement discussions.
o Collaborate across engineering, maintenance, procurement, and operations teams to ensure end to end alignment.
o Contribute to reusable templates, checklists, configuration patterns, and AI enabled best practices for SAP AM delivery.
Required Skills & Experience
SAP Asset Management Expertise
o Strong hands on experience with SAP Asset Management / Plant Maintenance (PM) including:
o Preventive & corrective maintenance
o Work order lifecycle
o Maintenance planning & scheduling
o Equipment/task list/master data
o Maintenance notifications and reporting
o Familiarity with cross module integrations (MM, QM, FI/CO) and maintenance related data structures.
AI Ready Skills
o Practical experience using AI copilots, LLM based assistants, and automated documentation or testing accelerators.
o Ability to incorporate pre built AI services (predictive insights, anomaly detection, recommendations) into SAP AM processes.
o Understanding of AI tool limitations, responsible AI use, and when to escalate to AI native or data science teams.
General Skills
o Strong analytical and problem solving skills related to asset lifecycles and maintenance workflows.
o Ability to translate maintenance and operations requirements into robust SAP configurations.
o Clear communication, documentation, and stakeholder management skills.
o Continuous learning mindset with openness to AI enabled productivity improvements.
Good to Have
o SAP certifications in Asset Management / PM.
o Experience with mobile maintenance applications, IoT data sources, or sensor based integrations.
o Exposure to cloud platforms (Azure/AWS) for maintenance analytics integrations.
o Familiarity with testing automation tools.
Outcome Expectations
o Deliver faster, more reliable asset management solutions using AI assisted development.
o Improve maintenance efficiency, data accuracy, and operational uptime.
o Act as a connector between maintenance teams, SAP engineering teams, and AI native teams when deeper AI is required.
Additional Information:
o 15 years full time education is required.
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 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 assistance—not through custom AI model development or agentic system building.
Key Responsibilities
Functional & Technical Delivery
o Configure and enhance SAP Asset Management processes including maintenance planning, work order management, notifications, master data, and integration with procurement, inventory, and plant operations.
o Use AI copilots to generate functional specs, validate configuration, create test scenarios, and automate recurring documentation tasks.
o Conduct end to end delivery: requirement gathering, solution design, configuration, testing, deployment, and hypercare.
o Integrate SAP Asset Management with related modules (PM, MM, QM, FI/CO) and external systems using standard APIs and integration frameworks.
AI Assisted Productivity
o Utilize AI assisted tools to speed up:
o Impact analysis
o Data validation
o Error diagnosis
o Test case creation
o Solution documentation
o Integrate pre-built AI capabilities (e.g., predictive maintenance signals, smart task classification, anomaly detection) into asset workflows where relevant.
o Use copilots for configuration reviews and optimization suggestions.
Governance, Quality & Collaboration
o Ensure SAP solutions comply with enterprise data quality, audit, and maintenance governance standards.
o Participate in workshops, solution walkthroughs, root cause analysis, and continuous improvement discussions.
o Collaborate across engineering, maintenance, procurement, and operations teams to ensure end to end alignment.
o Contribute to reusable templates, checklists, configuration patterns, and AI enabled best practices for SAP AM delivery.
Required Skills & Experience
SAP Asset Management Expertise
o Strong hands on experience with SAP Asset Management / Plant Maintenance (PM) including:
o Preventive & corrective maintenance
o Work order lifecycle
o Maintenance planning & scheduling
o Equipment/task list/master data
o Maintenance notifications and reporting
o Familiarity with cross module integrations (MM, QM, FI/CO) and maintenance related data structures.
AI Ready Skills
o Practical experience using AI copilots, LLM based assistants, and automated documentation or testing accelerators.
o Ability to incorporate pre built AI services (predictive insights, anomaly detection, recommendations) into SAP AM processes.
o Understanding of AI tool limitations, responsible AI use, and when to escalate to AI native or data science teams.
General Skills
o Strong analytical and problem solving skills related to asset lifecycles and maintenance workflows.
o Ability to translate maintenance and operations requirements into robust SAP configurations.
o Clear communication, documentation, and stakeholder management skills.
o Continuous learning mindset with openness to AI enabled productivity improvements.
Good to Have
o SAP certifications in Asset Management / PM.
o Experience with mobile maintenance applications, IoT data sources, or sensor based integrations.
o Exposure to cloud platforms (Azure/AWS) for maintenance analytics integrations.
o Familiarity with testing automation tools.
Outcome Expectations
o Deliver faster, more reliable asset management solutions using AI assisted development.
o Improve maintenance efficiency, data accuracy, and operational uptime.
o Act as a connector between maintenance teams, SAP engineering teams, and AI native teams when deeper AI is required.
Additional Information:
o 15 years full time education is required.
15 years full time education
Jaipur
雇用機会の均等化に関する声明
アクセンチュアは選考に際し、適用される法令に基づき、応募者を年齢、人種、思想信条、肌の色、宗教、性別、国籍、出生地、民族的起源、障がいの有無、性的指向、性同一性、遺伝情報、婚姻、パートナーの有無、市民権において差別することなく、全ての応募者に対し適用される法令に基づき採用選考を行います。
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.
We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.
At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.
Join Accenture to work at the heart of change. Visit us at www.accenture.com.