SAP AI Architect

Job Description

Roles & Responsibilities :

Architect and deliver AI / ML-enhanced solutions integrated with SAP platforms such as  SAP AI Core(GenAI Hub), S / 4HANA ,  SAP BTP ,  SAP Data Intelligence , and  SAP Analytics Cloud .

Collaborate with cross-functional teams including data scientists, SAP functional consultants, developers, and business stakeholders to define solution requirements.

Lead the development of AI use cases such as agentic AI, intelligent automation, predictive analytics, anomaly detection, and smart workflows.

Design data pipelines and ensure secure, governed access to data across SAP and external systems.

Stay current with SAP and AI product developments to continuously improve solution architecture.

Qualifications

Educational qualification :

Bachelor's or master’s degree in computer science, Engineering, Data Science, or a related field.

12+ years of experience in SAP Development, architecture and implementation.

2+ years of hands-on experience designing and integrating AI / ML models into SAP environments.

Strong working knowledge of  SAP S / 4HANA , On-Prem, Public / Private Cloud,  SAP BTP ,

Proficiency in AI / ML frameworks (e.g.,  TensorFlow ,  Py-Torch ,  Scikit-learn ) and programming languages (e.g.,  Python ,  R )

Hands on experience with SAP BTP Developments using CAPM, RAP, UI5 / Fiori frameworks

Hands on experience with SAP Build portfolio, CI / CD, and other BTP services.

Hands on experience with SAP AI Core, AI Launchpad with well versed GenAI applications developments, integrations and orchestration leveraging GenAI Hub – LLM framework

Experience working with cloud platforms (SAP BTP,  AWS ,  Azure , or  GCP ).

Preferred Qualifications :

SAP certifications (e.g., SAP Certified Technology Associate – SAP BTP or SAP S / 4HANA).

Experience with Narrow and  Gen AI, Unsupervised ML  or  predictive maintenance  solutions.

MLOPS

Experience with SAP Business AI, SAP Joule