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    Azure/ GenAI Architect - Philadelphia, United States - Resource Logistics

    Resource Logistics
    Resource Logistics Philadelphia, United States

    3 weeks ago

    Default job background
    Description

    High level:
    Clienture GenAI Clienthitect (understanding of vector stores and other AI components)

    Experience managing offshore teams

    Ability to manage backlog and prioritize effectively


    Responsibilities:

    Use Cases and Strategy:
    Develop and strategize use cases for GenAI applications in alignment with business objectives.

    Executive Presence:
    Engage with senior stakeholders, presenting GenAI solutions and illustrating their impact.

    Data Science Expertise:
    Harness your strong background in data science to drive insights and foster innovation.

    AI/Client Understanding:
    Demonstrate a deep understanding of AI/Client principles, including GenAI-specific approaches.

    Clienture Ecosystem:
    Leverage knowledge of the Clienture ecosystem to establish AI practices within organizations.

    End-to-End AI Lifecycle: Oversee engagements from ideation through proof of concept (POC) to scaling AI solutions.


    MLOPS:
    Implement best practices for machine learning operations (MLOPS).


    Qualifications:

    Experience:
    Minimum of 6-12 years of relevant experience.


    Education:
    Bachelor's degree required.


    Product Management:
    Excellent product management skills.

    Agile/Scrum:
    Familiarity with Agile/Scrum methodologies.

    Cloud Platforms:
    Knowledge of cloud big data platforms (Clienture).

    AI/Client:
    Understanding of AI/Client, including GenAI/LLM solutions.
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