Gen AI Architect

9 - 14 years

20 - 35 Lacs

Posted:1 day ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Gen AI Architect

Total Yrs of Experience - 10 to 15 yrs

All LTIM location

Role Overview

AI Architect

Key Responsibilities

  • Architect and Design

    :
    • Build end-to-end AI/GenAI architectures using

      Azure OpenAI

      ,

      Azure AI Services

      ,

      AI Foundry

      , and related offerings.
    • Define and implement

      agent-based patterns

      leveraging frameworks like

      LangChain

      ,

      LangGraph

      ,

      CrewAI

      , or

      Autogen

      .
    • Develop solution blueprints and technical documentation for AI systems.
  • Integration and Deployment

    :
    • Integrate AI agents and GenAI functionalities with broader IT ecosystems via APIs and secure workflows.
    • Ensure compliance with enterprise requirements for

      security

      ,

      data privacy

      ,

      explainability

      , and

      scalability

      .
    • Implement

      CI/CD pipelines

      ,

      MLOps

      , and

      LLMOps

      for AI deployments.
  • Collaboration and Leadership

    :
    • Work closely with

      data scientists

      ,

      software engineers

      , and

      business stakeholders

      to align AI solutions with organizational goals.
    • Conduct workshops and enablement programs to drive AI adoption.
    • Mentor technical teams on AI architectural best practices.

Required Skills & Qualifications

Education: Bachelors/Master’s in Computer Science, Engineering, or related field.

Experience:

  • 10+ years in software architecture or AI/ML, with at least 2 years in GenAI system design.
  • Proven experience delivering solutions on Azure AI stack.

Technical Expertise:

  • Azure Cloud & AKS architecture (GPU strategy, autoscaling, private VNet, Bastion).
  • Proficiency in Python, REST API development (FastAPI/Django/Flask).
  • Hands-on with LangChain, LangGraph, and prompt engineering.
  • Familiarity with Azure services: Azure OpenAI, App Services, Azure Functions, ACR, Azure Files, Entra ID.
  • Strong understanding of security, compliance, and explainability in AI systems.
  • Power Platform (Power Apps/Power Automate & Model Context Protocol).
  • Data Layer & Pipelines: Azure SQL, Cosmos DB, PostgreSQL, Redis Cache, Dataverse, and ETL tools (ADF, Databricks).

Preferred Certifications

  • MicrosoftCertified:

    Azure Solutions Architect Expert

    .

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