Job Location- Bangalore, Pune

Must have skills - which are non-negotiable

- GenAI (LLMs, embeddings, vector stores, RAG architecture, LLM evaluation, production deployments).
- Frameworks such as Langchain, Langgraph.
- AWS/GCP/Azure cloud services and cloud-native architecture Well versed with Python Gen AI Development
- Experience in defining AI based solutions, coming up with AI/ML architecture

Key Responsibilities:

1. Understand current system architecture, components and Impact assessment to existing components/ applications.
2. Defines end-to-end AI/ML system architecture using LLMs, Retrieval-Augmented Generation (RAG),vector databases, orchestration tools, data flow, model lifecycle, deployment methods.
3. Selects the right technologies, frameworks, cloud services (Azure/AWS/GCP) for scalable AI systems.
4. Partner with business and technology stakeholders to translate use cases into AI solution blueprints.
5. Designs MLOps/LLMOps workflows, observability, and governance layers.





Required Skills & Experience: 1) 10-15+ years in software/architecture with 3-5+ years in AI/ML architecture.

2) Robust expertise in GenAI (LLMs, embeddings, vector stores, RAG architecture, LLM evaluation, production deployments).

3) Strong experience in frameworks such as Langchain, Langgraph. 4) Proficient in AWS/GCP/Azure cloud services and cloud-native architecture.

5) Provides guidance during Python Gen AI development

6) Should be able to network within GenAI team and with other application teams for designing overall AI Architecture.

Important :

Notice period : Immediate to 30-45days ONLY.

Candidates serving Notice period will be preferred.

Please note - There should not be Career Gap more than 6 months(No Career Break)

Graduation score should be 60% & above

BGV (Background Verification)is mandatory.

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