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    Home/Jobs/AI Enablement & Solutions Lead

    AI Enablement & Solutions Lead

    K18

    United States
    5-8 years
    3 days ago
    ₹40–49 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    Prompt Engineering
    Embeddings
    Retrieval-augmented generation (RAG)
    Azure OpenAI
    Python
    APIs
    Data pipelines
    LangGraph
    CrewAI
    AutoGen
    Databricks
    Azure ML
    Azure DevOps
    DevOps

    Description

    K18 is a biotech haircare company on a mission to unlock hair’s full potential through science. We're looking for an AI Enablement & Solutions Lead to own how AI gets applied across the business. This role turns ideas into real, usable solutions that drive efficiency, improve decision-making, and unlock new capabilities across teams.

    Company: K18

    Role: AI Enablement & Solutions Lead

    Location: United States

    Experience:

    • 5-8+ years in a technical, product, or analytics role
    • Proven, hands-on experience building AI or LLM-based solutions

    Key Skills:

    • Python
    • APIs
    • data pipelines
    • LangGraph
    • CrewAI
    • LLMs
    • prompt design
    • embeddings
    • retrieval-augmented generation (RAG)
    • Databricks
    • Azure OpenAI
    • Azure ML
    • Azure DevOps

    Qualification:

    • Proven, hands-on experience building AI or LLM-based solutions, not just familiarity with the concepts
    • Track record of taking ideas from concept to working solution

    Role Focus:

    • Own AI Use Cases End-to-End
    • Build and Prototype Solutions
    • Scale What Works
    • Drive Adoption
    • Build AI Guardrails and Best Practices

    Nice to have:

    • Hands-on experience building AI agents or agentic workflows (e.g., LangGraph, CrewAI, AutoGen, or similar frameworks) is strongly preferred
    • Working knowledge of LLMs, prompt design, embeddings, and/or retrieval-augmented generation (RAG)
    • Hands-on experience with Databricks or a similar modern data platform is strongly preferred
    • Familiarity with Azure (e.g., Azure OpenAI, Azure ML, or Azure DevOps) and basic DevOps practices (CI/CD, version control, deployment pipelines) is a plus

    Other:

    • Salary Range: up to $120,000-$145,000 (in USD $)
    • This range represents the low and high end of the anticipated base salary range for this position. The actual base salary will depend on numerous factors such as: experience, knowledge and skills, and if the location of the job changes.

    Prepare for this role

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

    Python for Everybody Specialization

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    Generative AI with Large Language Models

    Coursera

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

    Python 3 Programming Specialization

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

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