Tax Senior - SAP & Python GenAI

Job Summary

We are looking for a Senior SAP BTP AI & ML Engineer (4-8 years) with strong hands-on experience in SAP AI Core, AI Launchpad, Python, and SAP CAP-based API development. The role focuses on building, integrating, and supporting AI-enabled side-by-side extensions on SAP BTP, following Clean Core principles.

Key Responsibilities

• Solution Development
• Develop AI-enabled applications on SAP BTP.
• Build and deploy ML workloads using SAP AI Core and manage lifecycle via AI Launchpad.
• Develop Python services (FastAPI / Flask) for ML inference and orchestration.
• Build SAP CAP services (Node.js / Java) for business logic and API exposure.
• Deliver side-by-side extensions for S/4hana or ECC.
• CAP & API Integration
• Design and implement OData v2/v4 and REST APIs using SAP CAP.
• Integrate CAP services with S/4hana/ecc, SAP Integration Suite, and external systems.
• Implement API security using OAuth2, XSUAA, scopes, and roles.
• Support API exposure via SAP API Management.
• AI / ML & MLOps
• Implement training and inference pipelines in SAP AI Core.
• Package and deploy models using Docker.
• Use AI Launchpad for experiment tracking, versioning, and monitoring.
• Work with ML frameworks such as TensorFlow, PyTorch, scikitlearn, or ONNX.
• Integration, Security & Operations
• Build integrations using SAP Integration Suite (Cloud Integration).
• Use HANA Cloud / Datasphere for data access and preparation.
• Support CI/CD, BTP TMS, logging, and monitoring (Cloud ALM).
• Troubleshoot application, API, and AI runtime issues.
• Collaboration
• Work closely with architects, functional consultants, and integration teams.
• Participate in design discussions, code reviews, and sprint deliveries.
• Maintain technical documentation for CAP services and APIs.

Required Skills And Experience

• 4-8 years of SAP technical development or integration experience.
• Strong hands-on experience with SAP BTP (Cloud Foundry / Kyma preferred).
• SAP AI Core and AI Launchpad.
• SAP CAP (Node.js / Java).
• API development (OData & REST).
• Solid Python skills for AI/ML services.
• Added advantage: Experience with Docker, HANA Cloud, and Integration Suite.
• Good understanding of Clean Core and side-by-side extensibility.
• Knowledge of Workflow.