SAP BTP - Python AI

Austin, TX. Rate: Standard as per market. This requirement is having skills combination Python with Gen AI & SAP BTP also. Full JD below. JD: Design, govern, and scale SAP BTP-based enterprise solutions, while embedding GenAI into workflows, operations, and user experiences The role requires platform architecture, cloud-native design, integration, security, and GenAI-driven automation Hands-on experience with SAP BTP architecture and ability to embed GenAI and agentic AI capabilities into SAP-centric enterprise landscape Skills: SAP BTP & Cloud 8-10+ years of experience in SAP or enterprise cloud architecture Strong hands-on experience with SAP BTP services Solid understanding of cloud-native and microservices architecture Experience with SAP security and identity concepts GenAI & AI Architecture Practical experience designing or implementing GenAI solutions Strong understanding of: LLMs and prompt engineering RAG architectures AI orchestration / agent-based patterns Experience integrating LLMs with enterprise systems and APIs DevSecOps & Engineering Experience with CI/CD, automation, and cloud operations Familiarity with Kubernetes, APIs, and event-driven architectures Understanding of observability and reliability for production systems Good to Have Experience with SAP AI Core / AI Launchpad / GenAI Hub Exposure to frameworks like LangChain, LangGraph, CrewAI Responsibilities SAP BTP & Cloud Design and own end-to-end SAP BTP architectures across: Cloud Foundry and/or Kyma runtimes SAP Integration Suite (CPI, API Management, Event Mesh) SAP HANA Cloud, Datasphere Identity & Access Management (IAS, XSUAA, IDP trust) Define account, subaccount, runtime, and security models aligned with enterprise standards Establish reference architectures, design patterns, and best practices for BTP implementations GenAI & AI Architecture Design and implement GenAI-enabled use cases on BTP, such as: AI copilots for SAP users Incident, alert, and change summarization Automated root cause analysis and remediation recommendations Knowledge bots for runbooks, KT documents, and SAP operations Architect RAG (Retrieval-Augmented Generation) pipelines using: SAP HANA Cloud / vector stores Secure enterprise data sources Integrate BTP with enterprise LLM platforms (Azure OpenAI, OpenAI, Gemini, etc.) Evaluate and apply agentic AI patterns DevSecOps & Engineering Define CI/CD pipelines for BTP applications and AI workflows Ensure production readiness of GenAI solution Work closely with SRE / Ops teams to operationalize AI solutions at scale

Created: 2026-03-04