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SAP AI ARCHITECT – GENERATIVE AI & BTP (FASHION INDUSTRY) @ GAALLASOFT

India, Bangalore Posted 2/25/2026 gaallasoft.com 2397 Views
Gaallasoft is seeking a highly skilled SAP AI Architect specializing in Generative AI and BTP for the fashion industry. This hybrid role based in Bangalore requires a professional capable of architecting enterprise-scale AI solutions using SAP AI Core, Generative AI Hub, and SAP BTP. The successful candidate will design sophisticated RAG pipelines with vector embeddings and semantic modeling, ensuring high-performance AI integration across complex enterprise environments. You will be instrumental in defining AI governance, security protocols, and scalable deployment strategies to support production-grade AI applications.

In this position, you will extend SAP Joule with custom AI skills and backend integrations while building side-by-side extensions using the SAP CAP Model and microservices. You will collaborate with SAP functional, engineering, and business teams to integrate external AI platforms such as Azure OpenAI, AWS Bedrock, or Vertex AI. The role involves managing AI runtime deployment, monitoring, and MLOps practices to ensure the reliability of AI solutions. This is a unique opportunity to shape the future of AI within the fashion industry using cutting-edge SAP technologies.

Key Requirements

Profound expertise in SAP AI Core and Generative AI Hub Architecture. Demonstrated experience with SAP Joule Extensions and SAP BTP AI Solutions. Advanced proficiency in Python and JavaScript for AI application development. Hands-on experience with REST/OData APIs and JSON data structures. In-depth knowledge of RAG Architecture and SAP HANA Cloud Vector Engine. Strong background in SAP CAP Model using Node.js or Java for AI integrations. Practical experience with AI runtime deployment, monitoring, and MLOps practices. Ability to architect enterprise AI solutions across both SAP and non-SAP ecosystems. Knowledge of cloud-native architecture including Docker, Kubernetes, and major CSPs. Familiarity with S/4HANA or S4 Fashion systems is highly preferred.

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