SAP AI Architect

Roles & Responsibilities :

SAP AI Core(GenAI Hub), S/4HANA

• 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 masters 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