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    Home/Jobs/LEAD DATA ANALYST - Gen AI

    LEAD DATA ANALYST - Gen AI

    Happiestmind

    Not specified
    6-10 years
    Today
    ₹23–44 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    Gen AI
    Databricks
    AI orchestration frameworks
    API Integration
    Azure AI Foundry
    AWS Bedrock
    ServiceNow AI capabilities
    OpenTelemetry (OTEL)
    Python

    Description

    We are seeking a hands-on AI / GenAI Engineer with strong experience in enterprise AI integrations, agentic workflows, LLM orchestration, and AI platform engineering to support the implementation of a unified enterprise AI platform built around Databricks AI Gateway.

    Company: Happiestmind

    Role: LEAD DATA ANALYST - Gen AI

    Experience:

    • 6-10 years of experience in software engineering, AI engineering, cloud engineering, or platform engineering

    Key Skills:

    • Databricks
    • GenAI / LLM integrations
    • AI orchestration frameworks
    • API integrations
    • Azure AI Foundry
    • AWS Bedrock
    • ServiceNow AI capabilities
    • OpenTelemetry (OTEL)
    • AI observability
    • API gateways
    • CI/CD pipelines
    • Cloud-native integrations
    • Python
    • AI integration frameworks

    Role Focus:

    • Support implementation and integration of enterprise AI solutions leveraging Databricks AI Gateway
    • Build and integrate agentic AI workflows and enterprise AI services
    • Develop and support telemetry instrumentation and observability integrations using OpenTelemetry (OTEL)
    • Enable logging, tracing, monitoring, and operational telemetry integration
    • Support implementation of governance and security controls for AI workflows
    • Collaborate with API and platform engineering teams to integrate AI services
    • Build operational dashboards and reporting
    • Support automation, CI/CD integration, deployment pipelines, and operational reliability initiatives
    • Collaborate with FinOps and platform teams to monitor AI consumption

    Nice to have:

    • Exposure to agentic AI workflows and orchestration frameworks
    • Experience with Databricks AI Gateway and MLflow
    • Knowledge of Unity Catalog governance
    • Experience with Power BI and dashboard development
    • Exposure to enterprise IAM and security concepts
    • Understanding of FinOps concepts for AI workloads

    Other:

    • Work closely with Senior Databricks Architect, Cloud Engineering, Security, DevOps, Platform Engineering, and Operations teams
    • Strong collaboration and problem-solving skills
    • Experience working in Agile and DevOps environments

    Prepare for this role

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

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Generative AI with Large Language Models

    Coursera

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

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

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