Project Role : Custom Software Engineer Project Role Description : Design, build and configure applications to meet business process and application requirements.

Must have skills : SAP Configure Price & Quote, 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 Configure Price & Quote (CPQ) solutions while leveraging AI assisted development tools and copilots to accelerate requirement analysis, configuration, testing, documentation, and issue resolution. This role focuses on enabling efficient quotation processes, intelligent product configuration, accurate pricing, and seamless sales enablement while integrating pre built AI capabilities to uplift cycle times and decision quality—without requiring deep AI system development.

Key Responsibilities CPQ Functional & Technical Delivery Configure and enhance SAP CPQ processes including: Product Configuration Rules & Constraints

Pricing Rules, Discounts, and Surcharges

Quote Generation and Approval Workflows

Guided Selling & Product Recommendations

Integration with CRM, ERP, and eCommerce systems Use AI copilots to accelerate: Rule writing and validation

Documentation (FS/TS/user stories)

Test case creation for configurations, pricing, and quoting

Error detection and impact assessments Support full lifecycle: requirements, solution design, configuration, SIT/UAT, deployment, and hypercare. Ensure seamless synchronization with SAP Sales Cloud, ECC/S4 pricing, and master data frameworks.





AI Assisted Productivity Apply AI copilots for: Requirement analysis and summarization

Pattern detection in pricing or configuration errors

Automated generation of configuration and pricing test scenarios

Drafting of knowledge content, SOPs, and training materials Integrate pre built AI services such as: Intelligent product recommendations based on historical quoting patterns

Automated summarization of complex configurations

AI assisted quote validation and error flagging

Automated opportunity scoring or quote prioritization Use LLM assisted troubleshooting to reduce turnaround time for configuration rule failures or integration issues. Governance, Quality & Collaboration Ensure CPQ processes comply with pricing governance, discount controls, audit guidelines, and approval frameworks. Participate in requirement workshops, configuration reviews, pricing governance meetings, and optimization discussions supported by AI-driven insights.

Collaborate with Sales, Pricing, Product Management, CRM, and ERP teams for end to end solution delivery. Contribute reusable templates, test packs, pricing guidelines, and AI enabled best practices.

Required Skills &





Experience SAP CPQ Expertise Hands on experience with CPQ configuration including rules engine, pricing logic, quote workflows, and guided selling. Understanding of CPQ integration with CRM (SAP Sales Cloud, C4C, or CRM legacy) and ERP pricing conditions. Familiarity with product models, variant configuration concepts, and approval frameworks. AI Ready Skills Experience using AI copilots, automated documentation tools, and AI supported testing accelerators. Ability to embed pre built AI capabilities into CPQ workflows (not custom LLM/RAG model training). Understanding of responsible AI usage, especially in pricing and sales decision contexts.

General Skilled Skills

Strong analytical and problem solving skills related to configuration, pricing, and quoting logic. Ability to translate sales and product management requirements into accurate CPQ configurations. Effective communication with business and technical teams. Continuous learning mindset with comfort adopting AI enabled workflows. Good to Have SAP CPQ Certification or experience with SAP Sales Cloud (C4C). Exposure to Variant Configuration (VC/AVC) in S/4HANA.

Experience with eCommerce or CRM platforms. Familiarity with automated testing tools or rule simulation frameworks.

Outcome Expectations

Deliver faster, more accurate CPQ solutions using AI assisted productivity tools. Improve quoting accuracy, cycle time, and sales efficiency. Act as a bridge between Sales, Product, Pricing, SAP engineering teams, and AI native experts where deeper AI insights are needed. Additional information A 15 years full time education is required.

📌 Custom Software Engineer (Chennai)
🏢 Accenture in India
📍 Chennai