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
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
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关于Accenture

Accenture
PublicAccenture plc is a Irish technology consulting company headquartered in Dublin, Ireland. Founded in 1989, Accenture provides information technology and management consulting services across 120 countries globally.
10,001+
员工数
Dublin
总部位置
$139B
企业估值
评价
9条评价
3.6
9条评价
工作生活平衡
2.8
薪酬
3.2
企业文化
3.4
职业发展
3.7
管理层
3.1
62%
推荐率
优点
Good career growth and learning opportunities
Great culture and work environment
Good compensation and benefits
缺点
Office politics and political environment
Long hours and stressful work
Low starting salary below market rate
薪资范围
21个数据点
L2
L6
L3
L4
L5
L2 · Business Analyst L2
0份报告
$63,830
年薪总额
基本工资
$25,532
股票
$31,915
奖金
$6,383
$44,681
$82,979
面试评价
1条评价
难度
3.0
/ 5
时长
14-28周
录用率
100%
体验
正面 0%
中性 0%
负面 100%
面试流程
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Panel Interview
5
Offer
常见问题
Behavioral/STAR
Past Experience
Culture Fit
Technical Knowledge
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