Tax Senior - SAP & Python GenAI

EY; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

EY Bengaluru is seeking a Senior SAP BTP AI & ML Engineer with 4-8 years of hands-on experience to build and support AI-enabled side-by-side extensions on SAP BTP, following Clean Core principles.

You will develop AI-enabled applications, deploy ML workloads using SAP AI Core, and manage lifecycles via AI Launchpad. Proficiency in Python, SAP CAP, and API exposure is essential for success.

Qualifications

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

Responsibilities

• 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 for ML inference and orchestration (FastAPI/Flask).
• Build SAP CAP services for business logic and API exposure.
• Deliver side-by-side extensions for S/4HANA or ECC.
• 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: 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, scikit-learn, or ONNX.
• Collaboration with architects, consultants, and integration teams.
• Maintain technical documentation for CAP services and APIs.

Skills

SAP BTP

Python

AI Core

AI Launchpad

SAP CAP

OData/REST APIs

Docker

TensorFlow/PyTorch/ONNX

Tools

SAP Integration Suite

HANA Cloud/Datasphere

Job description

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.