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    Job · 20670917

    REMOTE · FULLTIME

    Artificial Intelligence Architect

    Intellics Global Services

    Intellics Global Services

    Remote · hybrid · Posted 11d ago

    Sourced fromNaukri
    ₹20.0L - ₹30.0L PA10–15 yrsfulltimeRemote

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    Section · 01

    About this role

    AI Architect


    Experience: 10+ Years

    Location: Pan India (Hybrid)

    Employment Type: C2H


    Job Summary

    We are looking for an experienced AI Solution Architect / GenAI Architect to design enterprise-grade AI solutions. The ideal candidate should have strong expertise in AI/ML architecture, Generative AI, Agentic AI, LLMs, RAG, cloud platforms, MLOps, and AI governance.


    Key Responsibilities

    • Design end-to-end AI solution architectures aligned with business, scalability, security, and performance requirements.
    • Define AI/ML lifecycle best practices covering model training, deployment, monitoring, optimization, and maintenance.
    • Architect enterprise AI solutions using cloud-based AI services, LLM platforms, and cognitive services.
    • Lead GenAI and Agentic AI architecture, including prompt strategies, RAG patterns, AI agents, and orchestration frameworks.
    • Establish AI governance, security, compliance, and responsible AI frameworks.
    • Convert business requirements into technical AI blueprints, solution designs, and reference architectures.
    • Guide teams on MLOps architecture, CI/CD pipelines, deployment strategies, monitoring, and operational readiness.
    • Review and validate AI solution designs against enterprise architecture standards.
    • Collaborate with stakeholders, data scientists, ML engineers, software engineers, and product teams.
    • Evaluate emerging AI technologies and provide strategic recommendations for innovation and modernization.

    Preferred Profile

    • 10+ years of experience in AI/ML, Solution Architecture, or related technology roles.
    • Strong experience designing enterprise-scale AI solutions.
    • Hands-on understanding of GenAI, LLMs, RAG, and Agentic AI.
    • Experience with cloud platforms and MLOps environments.
    • Strong stakeholder management and communication skills.
    • Ability to translate business requirements into scalable technical solutions.

    Interested candidates can share their updated CV along with current CTC, expected CTC, notice period, and location: [email removed]

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    Section · 02

    Skills

    DevopsAimlRetrieval Augmented GenerationPrompt EngineeringSolution ArchitectingMLOpsGenrative AiEnterprise ArchitectureEthical Aiai governanceLarge Language Models (LLMs)Technical Solution Designorchestration frameworkML Lifecycle ManagementAgentic AiCi/Cd

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