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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 Sales and Distribution (SD)
Good to have skills :
NA
Minimum 5 year(s) of experience is required
Educational Qualification :
15 years full time education
Summary:
You will design, configure, and enhance SAP Sales & Distribution (SD) processes while leveraging AI assisted development tools and copilots to speed up requirement analysis, configuration, testing, documentation, and troubleshooting. This role focuses on delivering efficient Order to Cash (O2C) solutions, integrating pre built AI services where beneficial, and improving productivity through AI enabled assistance rather than deep AI model development, RAG, or agentic AI systems.
Key Responsibilities:
SAP SD Functional & Technical Delivery:
Configure and optimize SAP SD components including:
o Order Management
o Pricing, Conditions & Discounts
o Delivery & Shipment Processing
o Billing & Invoicing
o Credit Management
o Returns & Refunds
Use AI copilots to draft functional specs, validate pricing logic, automate test case generation, and accelerate documentation creation.
Support end to end implementation cycles including requirements gathering, solution design, configuration, SIT/UAT, deployment, and post go live support.
Integrate SD with MM, FI, PP, WM/EWM, and external systems via standard APIs and middleware.
AI Assisted Productivity:
Apply AI enabled tools to accelerate:
o Process analysis and interpretation
o Pricing issue diagnostics
o Impact analysis for change requests
o Test planning and execution
o Documentation automation (FS, TS, KT docs)
Incorporate pre built AI features into SD workflows—for example:
o Automated exception detection in billing or pricing
o Intelligent order classification or prioritization
o Smart summarization of order/delivery issues
Use LLM assisted troubleshooting during incidents, reducing resolution time.
Governance, Quality & Collaboration
Ensure solutions adhere to organizational SDLC practices, audit controls, pricing governance, and compliance requirements.
Conduct workshops, solution walkthroughs, and optimization discussions using AI supported insights.
Partner with logistics, finance, supply chain, master data, and technical teams to deliver end to end O2C alignment.
Contribute reusable templates, test packs, and best practices enhanced by AI assisted accelerators.
Required Skills & Experience:
SAP SD Expertise:
Strong understanding of O2C processes including order creation, ATP, shipping, billing, credit checks, and pricing procedures.
Experience with SD/FI and SD/MM integrations and cross module dependencies.
Knowledge of master data (customer, material, pricing, credit), IDocs, outputs, and common SD troubleshooting steps.
AI Ready Skills:
Hands on experience using AI copilots, automated documentation tools, and AI assisted testing/analysis tools.
Ability to integrate pre built AI capabilities (not developing custom LLMs or agentic systems) into SD process flows.
Understanding of responsible AI usage and limitations, especially in commercial workflows.
General Skills:
Strong analytical and problem solving capabilities in O2C scenarios.
Ability to translate business requirements into scalable SAP SD configurations.
Effective communication and collaboration skills with cross functional stakeholders.
Continuous learning mindset and comfort using AI augmented productivity tools.
Good to Have:
SAP SD Certification (S/4HANA Sales).
Experience with SAP Fiori apps (Sales Order, Billing, Pricing).
Exposure to EDI/IDoc integrations, middleware (CPI/Boomi), or CRM systems.
Familiarity with automation testing tools.
Outcome Expectations
Deliver faster, more accurate, and more transparent SD solutions using AI Assisted productivity accelerators.
Improve O2C efficiency, pricing accuracy, and billing reliability.
Act as an effective bridge between Sales, Supply Chain, Finance, and AI native teams when deeper AI involvement is required.
Additional Information:
A 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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Accentureについて

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+
従業員数
Dublin
本社所在地
$139B
企業価値
レビュー
3.6
9件のレビュー
ワークライフバランス
2.8
報酬
3.2
企業文化
3.4
キャリア
3.7
経営陣
3.1
62%
友人に勧める
良い点
Good career growth and learning opportunities
Great culture and work environment
Good compensation and benefits
改善点
Office politics and political environment
Long hours and stressful work
Low starting salary below market rate
給与レンジ
21件のデータ
L2
L3
L4
L5
L6
L2 · Business Analyst L2
0件のレポート
$63,830
年収総額
基本給
$25,532
ストック
$31,915
ボーナス
$6,383
$44,681
$82,979
面接体験
1件の面接
難易度
3.0
/ 5
期間
14-28週間
内定率
100%
体験
ポジティブ 0%
普通 0%
ネガティブ 100%
面接プロセス
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Panel Interview
5
Offer
よくある質問
Behavioral/STAR
Past Experience
Culture Fit
Technical Knowledge
ニュース&話題
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