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Artificial Intelligence Architect

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Hybrid

Artificial Intelligence Architect

Pi Square Technologies

Artificial Intelligence Architect

Skills

Google Cloud PlatformPythonMachine LearningAIAWSAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

10 September 2026

What they need


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) Strong 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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