SAP BTP - Python AI
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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 experiencesThe role requires platform architecture, cloud-native design, integration, security, and GenAI-driven automationHands-on experience with SAP BTP architecture and ability to embed GenAI and agentic AI capabilities into SAP-centric enterprise landscape Skills: SAP BTP & Cloud8-10+ years of experience in SAP or enterprise cloud architectureStrong hands-on experience with SAP BTP servicesSolid understanding of cloud-native and microservices architectureExperience with SAP security and identity concepts GenAI & AI ArchitecturePractical experience designing or implementing GenAI solutionsStrong understanding of:LLMs and prompt engineeringRAG architecturesAI orchestration / agent-based patternsExperience integrating LLMs with enterprise systems and APIs DevSecOps & EngineeringExperience with CI/CD, automation, and cloud operationsFamiliarity with Kubernetes, APIs, and event-driven architecturesUnderstanding of observability and reliability for production systems Good to HaveExperience with SAP AI Core / AI Launchpad / GenAI HubExposure 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 runtimesSAP Integration Suite (CPI, API Management, Event Mesh)SAP HANA Cloud, DatasphereIdentity & Access Management (IAS, XSUAA, IDP trust)Define account, subaccount, runtime, and security models aligned with enterprise standardsEstablish 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 usersIncident, alert, and change summarizationAutomated root cause analysis and remediation recommendationsKnowledge bots for runbooks, KT documents, and SAP operationsArchitect RAG (Retrieval-Augmented Generation) pipelines using:SAP HANA Cloud / vector storesSecure enterprise data sourcesIntegrate 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 workflowsEnsure production readiness of GenAI solutionWork closely with SRE / Ops teams to operationalize AI solutions at scale