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    Home/Jobs/Agentic AI Engineer for AI &DS, BSI

    Agentic AI Engineer for AI &DS, BSI

    Novartis

    Hyderabad
    7+ years
    Today
    ₹23–44 LPA
    Full-time
    Hybrid

    Skills Required

    LLM
    Agentic AI Frameworks
    Retrieval-Augmented Generation (RAG)
    LangGraph
    LangFuse
    Chain of Thought (CoT)
    React
    Python

    Description

    The AI and Data Science Operations (BSI) team at Novartis is committed to enhancing decision-making by leveraging advanced AI technologies to deliver actionable insights that improve performance and productivity.

    Company: Novartis

    Role: Agentic AI Engineer for AI &DS, BSI

    Location: Hyderabad | #LI-Hybrid

    Experience:

    • Minimum 7 years working in advance data science projects, including 2-3 years leading high-performing data science or ML teams from problem framing
    • Experience delivering GenAI and agentic solution and proven ability to build and deploy scalable ML models using cloud services (AWS, Azure)
    • 10-12 years of experience with Bachelor's degree in a related field
    • 8-10 years of relevant experience with Master's degree

    Key Skills:

    • Large Language Models (LLMs)
    • Agentic AI Frameworks
    • Machine Learning Model Deployment
    • AWS/Azure Cloud Services
    • Deep Learning & Foundation Models
    • Statistical Analysis & Reporting
    • Python Programming
    • Problem Solving
    • LangGraph
    • LangFuse
    • Chain of Thought (CoT)
    • ReACT
    • Retrieval-Augmented Generation (RAG)

    Qualification:

    • Bachelor's degree in a related field
    • Master's degree in a related field
    • Certifications in GenAI/ML platforms (AWS/Azure) are a plus
    • Master's in computer science or data science

    Role Focus:

    • Develop and deploy scalable AI solutions, focusing on GenAI applications
    • Drive innovation by staying current with advancements in AI, particularly generative models and LLM technologies
    • Collaborate with a high-performing team of data scientists, ensuring alignment within AI and Data Science initiatives
    • Engage in hands-on development and guide best practices for code quality, version control, and ML/AI Ops pipelines
    • Collaborate with cross-functional teams to integrate AI-driven solutions across platforms and services
    • Champion a culture of experimentation and adoption of best practices, inspiring teams with a “can-do” attitude and acting as an AI role model

    Nice to have:

    • Experience in the commercial pharma industry
    • Familiarity with Agile methodologies for project delivery
    • Ability to balance operational execution with strategic thinking
    • Strong collaboration skills with cross-functional teams
    • Excellent communication skills for engaging senior leadership

    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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