Enterprise AI Architect – GenAI Integration with ERP Systems

6 days ago


Bengaluru, India Tata Electronics Full time

Enterprise AI Architect – GenAI Integration with ERP SystemsLocation - BengaluruAbout the RoleWe are hiring a hands-on Enterprise AI Architect to design and deliver GenAI-powered solutions integrated into ERP and enterprise applications (SAP, Oracle, Dynamics, SCM, MDM).This role requires real-world experience building production-grade AI systems , not just cloud design or conceptual involvement. You will lead full-stack AI solutioning — from architecture to deployment — across both cloud and hybrid/on-prem environments.Important – Please Read Before ApplyingThis role is not for candidates with:Only cloud architecture or ERP experience without real GenAI/LLM deliveryExposure limited to PoCs , no-code AI tools , or theoretical AI understandingNo experience with on-prem/hybrid AI deployments , which are essential hereIf you haven’t designed and deployed GenAI systems into production , fully integrated with enterprise platforms — please refrain from applying .Who Should ApplyApply only if you:Have led end-to-end GenAI/LLM solution delivery in live enterprise environmentsUnderstand how to architect and integrate AI with ERP systems (SAP, Oracle, Dynamics)Can work hands-on with RAG pipelines , LangChain , vector databases , and cloud/on-prem hybrid deploymentsAre able to translate complex AI capabilities into scalable, secure business solutions️ What You’ll Own and DriveDesign and deliver GenAI architectures integrated with ERP, MDM, and supply chain systemsLead the full AI lifecycle: data engineering → model building → deployment → monitoringBuild and manage production-grade RAG systems , agentic frameworks, and semantic search toolsAlign with IT, data science, and business teams for implementation and enterprise-wide adoptionEnsure AI solutions are governed, secure, and scalable across cloud and hybrid environments✅ What We’re Looking ForMandatory: Hands-on experience deploying at least one GenAI/LLM system into productionStrong understanding of LangChain, RAG pipelines, vector DBs (FAISS, Pinecone)Proven track record integrating AI with ERP platforms (SAP, Oracle, Dynamics)Experience with cloud AI stacks (Azure, AWS, GCP) and on-prem/hybrid setupsKnowledge of AI governance, security, and compliance in enterprise settingsNote for Applicants:To be considered for this role and receive further communication, your LinkedIn profile must clearly reflect experience or include keywords such as GenAI, LLMs, RAG, LangChain, ERP (SAP, Oracle, Dynamics), Or enterprise systems, supply chain, finance, or master data — demonstrating your work in enterprise AI integration and production delivery .



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