Enterprise AI Architect – GenAI Integration with ERP Systems

Enterprise AI Architect – GenAI Integration with ERP Systems

Location - Bengaluru

About the Role

hands-on Enterprise AI Architect

real-world experience building production-grade AI systems

Important – Please Read Before Applying

This role is not for candidates with:

• 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

designed and deployed GenAI systems into production

Who Should Apply

Apply only if you:

• 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

What You’ll Own and Drive

• Design and deliver GenAI architectures integrated with ERP, MDM, and supply chain systems
• Lead the full AI lifecycle: data engineering → model building → deployment → monitoring
• Build and manage

  production-grade RAG systems

  , agentic frameworks, and semantic search tools
• 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

What We’re Looking For

• Mandatory:

  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

Note for Applicants:

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