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    Home/Jobs/Artificial Intelligence Architect

    Artificial Intelligence Architect

    NetConnectGlobal

    Delhi NCR
    8-13 years
    Today
    ₹38–63 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    Gen AI
    RAG
    Agentic AI
    Prompt Engineering
    Vector Database
    MLOps
    Model Lifecycle Management
    Model Serving
    AI Observability
    Enterprise AI Platform Architecture
    Databricks
    MLflow
    AWS
    Azure

    Description

    Artificial Intelligence Architect at NetConnectGlobal in Delhi NCR, India. Design and architect enterprise-scale AI and Generative AI platforms. Lead development and deployment of production-grade AI solutions.

    Company: NetConnectGlobal

    Role: Artificial Intelligence Architect

    Location: Delhi NCR

    Experience:

    • 8+ years of experience in AI/ML architecture and enterprise solution design

    Key Skills:

    • Large Language Models (LLMs)
    • Generative AI
    • Retrieval-Augmented Generation (RAG)
    • Agentic AI and Multi-Agent Systems
    • Prompt Engineering
    • AI Evaluation and Model Validation
    • MLOps
    • Model Lifecycle Management
    • Model Serving
    • AI Observability
    • Enterprise AI Platform Architecture
    • Databricks
    • MLflow
    • Vector Databases
    • AWS

    Role Focus:

    • Design and architect enterprise-scale AI and Generative AI platforms
    • Lead development and deployment of production-grade AI solutions using Large Language Models (LLMs) and Generative AI frameworks
    • Build and optimize Retrieval-Augmented Generation (RAG) pipelines and multi-agent AI systems
    • Develop advanced prompt engineering strategies to improve AI model performance and business outcomes
    • Establish AI evaluation frameworks for model quality, accuracy, safety, and performance
    • Design scalable MLOps pipelines covering model training, deployment, monitoring, and lifecycle management
    • Implement model serving, observability, monitoring, and governance best practices
    • Architect cloud-native AI solutions with a focus on scalability, reliability, and security
    • Collaborate with cross-functional teams, business stakeholders, and engineering leaders to deliver AI-driven business solutions
    • Ensure compliance with enterprise AI governance, security, and Responsible AI standards
    • Provide technical leadership, architectural guidance, and mentorship to AI engineering teams

    Other:

    • Excellent stakeholder management, communication, and leadership skills
    • Experience building cloud-native AI solutions on platforms such as AWS, Azure, or Google Cloud
    • Knowledge of AI Governance, Responsible AI, and enterprise security practices

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

    Introduction to Generative AI

    Coursera

    Google Cloud introduction covering Gen AI concepts, model types, and Google AI tools.

    Large Language Models: Application through Production

    edX

    Production-focused LLM course covering deployment, monitoring, and scaling.

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