IT Enterprise Architect-Hybrid

12 hours ago

Bangalore, India Tata Electronics Full time
Enterprise AI Architect – GenAI Integration with ERP Systems Location - Bengaluru

We 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.

#Only cloud architecture or ERP experience without real GenAI/LLM delivery
Exposure limited to PoCs , no-code AI tools , or theoretical AI understanding
No experience with on-prem/hybrid AI deployments , which are essential here
Have led end-to-end GenAI/LLM solution delivery in live enterprise environments
Understand 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 deployments
Are able to translate complex AI capabilities into scalable, secure business solutions

#Design and deliver GenAI architectures integrated with ERP, MDM, and supply chain systems
Lead the full AI lifecycle: data engineering → model building → deployment → monitoring
Align with IT, data science, and business teams for implementation and enterprise-wide adoption
Ensure AI solutions are governed, secure, and scalable across cloud and hybrid environments

✅ Hands-on experience deploying at least one GenAI/LLM system into production
Strong 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 setups
Knowledge of AI governance, security, and compliance in enterprise settings

#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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