Design, build and configure applications to meet business process and application requirements using SAP SuccessFactors Onboarding and AI assisted development tools.
Responsibilities
Configure and optimize SF Onboarding processes including new hire workflows, compliance steps, document management, and cross module integrations.
Use AI copilots to draft configuration notes, generate functional specifications, streamline testing cycles, and automate repetitive documentation tasks.
Support end to end delivery—requirements gathering, solution design, configuration, integration testing, UAT support, deployment, and hypercare.
Coordinate integration of Onboarding with Employee Central, Recruitment, HRIS Sync, DMS, and third party systems.
Apply AI assisted tools to accelerate requirement interpretation, configuration validation, test script generation, and workflow and documentation creation.
Design, build and configure applications to meet business process and application requirements, focusing on SAP FSCM Credit Management while leveraging AI assisted development tools and copilots.
Responsibilities
Configure and support SAP Credit Management processes including Credit Master Data & Scoring Rules
Credit Limits, Approvals & Exposure Management
Credit Checks (Static, Dynamic, Document based)
Credit Rules, Scoring Models & Risk Categories
Integrate with SD, FI AR, Collections, and Dispute Management
Requirements
15 years full time education
Nice to have: SAP FSCM Certification (Credit Management)
Design, build and configure applications to meet business process and application requirements, specifically focusing on SAP Configure Price & Quote (CPQ) solutions while leveraging AI assisted development tools and copilots.
Responsibilities
Configure and enhance SAP CPQ processes including Product Configuration Rules & Constraints
Design, build and configure applications to meet business process and application requirements, focusing on SAP Asset Management while leveraging AI assisted development tools and copilots.
Responsibilities
Configure and enhance SAP Asset Management processes including maintenance planning, work order management, notifications, master data, and integration with procurement, inventory, and plant operations.
Use AI copilots to generate functional specs, validate configuration, create test scenarios, and automate recurring documentation tasks.
Conduct end to end delivery: requirement gathering, solution design, configuration, testing, deployment, and hypercare.
Integrate SAP Asset Management with related modules (PM, MM, QM, FI/CO) and external systems using standard APIs and integration frameworks.
Utilize AI assisted tools to speed up impact analysis, data validation, error diagnosis, test case creation, and solution documentation.
Requirements
15 years full time education
Nice to have: SAP certifications in Asset Management / PM
Build AI native, HANA optimized SAP applications and extensions by combining deep ABAP on HANA engineering with agentic AI patterns (LLMs + tools + retrieval + evaluation).
Responsibilities
Design and develop ABAP solutions optimized for SAP HANA using pushdown principles
Build efficient data models and access patterns using CDS views, associations, annotations, and authorization concepts
Implement performance critical logic using AMDP / SQLScript
Develop modular, testable, and maintainable ABAP code aligned to clean architecture practices
Build services and APIs using modern paradigms (OData/service exposure patterns)
Develop custom software solutions to design, code, and enhance components across systems or applications using SAP MM and AI tools.
Responsibilities
Configure and optimize MM processes including Procure to Pay (P2P), Purchase Requisition/Order Management, Source List & Quota Arrangements, Vendor Management, Inventory Management, Material Master Data, Release Strategies & Pricing
Use AI copilots to generate functional specifications, validate configuration logic, create high quality test cases, and automate key documentation
Support end to end delivery across requirements gathering, solution design, configuration, SIT/UAT, deployment, and hypercare
Integrate MM with SD, FI, PP, QM, and external supplier systems using standard APIs, IDocs, and middleware
Apply AI tools to accelerate requirement interpretation, process design, material and vendor data validation, error diagnostics, test creation, regression analysis, and change impact assessments
Build AI native, HANA optimized SAP applications and extensions by combining deep ABAP on HANA engineering with agentic AI patterns (LLMs + tools + retrieval + evaluation).
Responsibilities
Design and develop ABAP solutions optimized for SAP HANA using pushdown principles
Build efficient data models and access patterns using CDS views, associations, annotations, and authorization concepts
Implement performance critical logic using AMDP / SQLScript
Develop modular, testable, and maintainable ABAP code aligned to clean architecture practices
Build services and APIs using modern paradigms (OData/service exposure patterns)
Develop custom software solutions using SAP BusinessObjects Data Services (BODS) to create intelligent, self‑optimizing data pipelines and data integration workflows.
Responsibilities
Design, develop, and operate BODS data integration jobs
Implement batch and near real‑time data pipelines
Build reusable data flows and transforms
Apply data quality rules and profiling
Enable conversational exploration of data pipelines