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.

- Robust 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.

📌 Tax Senior - SAP & Python GenAI (Bengaluru)
🏢 EY
📍 Bengaluru