
Enterprise AI Architect – GenAI Integration with ERP Systems
1 day ago
Enterprise AI Architect – GenAI Integration with ERP Systems
Location - Bengaluru
About the Role
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.
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
If you haven't
designed and deployed GenAI systems into production
, fully integrated with enterprise platforms —
please refrain from applying
.
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:
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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