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    AI Solutions Architect: IV - Atlanta, United States - Apptad

    Apptad
    Apptad Atlanta, United States

    2 weeks ago

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    Description
    Job Description

    Job Description


    Job Title:
    Apptad - AI Solutions Architect: IV


    Job Location:
    Fully Remote (CST 9am to 5pm)

    Job Duration:
    Long-Term

    Job Description

    We are looking for an AI Solutions Architect skilled in generative AI and traditional data science.
    The successful candidate will design, implement, and manage AI solutions, ensuring alignment with business goals.
    Must Have's

    Automations as well as AI experience
    Consumer AI Tools (Chat GBT, M365 CoPilot, Custom Co-pilots)
    Degenerative AI someone that has the experience who could teach on or speak be valuable to him.
    We have a dedicated AI system so they will be helping apply the right track for the solution
    Analyst and build proof of concepts
    Has experience outside the AI (education or pervious roles) in Data Science
    Meet with pp one-on-one presentations on the topic of A1 Great communication skills

    Responsibilities:
    Architect and deploy solutions using open-source and commercial generative AI models

    Apply data science techniques to business use cases:

    General Machine Learning and Analytics:
    Develop predictive models and data-driven solutions to solve business challenges using advanced machine learning techniques and statistical analysis.

    Computer Vision and Natural Language Processing (NLP): Create and integrate systems for analyzing visual data and understanding human language, facilitating automated and enhanced user interactions.

    Design scalable AI solutions on platforms like DataIku.
    Serve as an AI evangelist, delivering presentations to stakeholders and participating in industry conferences.
    Translate complex business issues into innovative AI-driven solutions.
    Experience with integrated generative AI assistants like M365 Copilots, SAP Joule, Amazon Q, and their code-specific counterparts.
    Expertise in cloud services such as AWS and Azure is highly preferred for deploying scalable AI applications.

    Required Qualifications:
    Proven track record in AI solution architecture with a strong portfolio.
    Expertise in AI technologies and familiarity with platforms like DataIku, AWS, Google Cloud, Azure.
    Strong foundation in machine learning, data science, and big data technologies.
    Excellent communication, project management, and leadership skills.
    Continual learning mindset with relevant certifications (e.g., Azure AI Engineer, AWS Machine Learning) preferred.

    Preferred Qualifications:
    Bachelor's or Master's degree in Computer Science, Data Science, or related field.
    Experience in cloud services and infrastructure, particularly for AI applications.
    Relevant certifications in AI technologies and platforms.
    Experience with TOGAF architecture framework

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