SAP Sales & Distribution (SD) Custom Software Engineer

Custom Software Engineer

Project Role : Custom Software Engineer
Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work.
Must have skills : SAP Sales and Distribution (SD)
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 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.