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    Enterprise AI Solutions Engineer - Tampa, United States - Zealogics

    Zealogics
    Zealogics Tampa, United States

    3 weeks ago

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    Description

    Job Description:

    Overview: As an Enterprise AI Solutions Engineer, you will be responsible for designing, developing, and implementing AI-driven solutions tailored to meet the unique needs of our enterprise clients. Leveraging cutting-edge technologies such as OpenAI ChatGPT, Microsoft Azure, Google Gemini, IBM Watson, Oracle, and more, you will collaborate with cross-functional teams to deliver innovative solutions that drive business growth and efficiency.

    Responsibilities:

    • Collaborate with clients to understand their business objectives and challenges, and identify opportunities for AI-driven solutions.
    • Design and architect scalable AI solutions using a combination of proprietary and third-party platforms and tools, including OpenAI ChatGPT, Microsoft Azure, Google Gemini, IBM Watson, Oracle, etc.
    • Develop custom integrations and configurations to seamlessly integrate AI solutions with existing enterprise systems such as Zoom, Remedy/ServiceNow, , Grafana, Workday, Conga Contract Intelligence, etc.
    • Lead the model selection, training, and deployment process, ensuring that AI models are optimized for performance and accuracy.
    • Manage domain-specific context and data to enhance the effectiveness of AI models and algorithms.
    • Utilize development tools such as middleware platforms, robotic process automation (RPA) tools, Hugging Face, GitLab, etc., to build and deploy AI APIs and applications.
    • Implement anomaly detection algorithms and techniques to identify and mitigate potential issues within AI-driven systems.
    • Stay updated on the latest advancements in AI, machine learning, and related technologies, and proactively incorporate them into solution designs and implementations.
    • Provide technical guidance and support to internal teams and clients throughout the project lifecycle.

    Qualifications:

    • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
    • Proven experience designing and implementing AI-driven solutions in an enterprise environment.
    • Proficiency with AI technologies and platforms such as OpenAI ChatGPT, Microsoft Azure, Google Gemini, IBM Watson, Oracle, etc.
    • Hands-on experience with enterprise systems integration, including Zoom, Remedy/ServiceNow, , Grafana, Workday, Conga Contract Intelligence, etc.
    • Strong understanding of generative AI, machine learning, reasoning, and related concepts.
    • Demonstrated expertise in model selection, training, and domain-specific context management.
    • Experience with software development using middleware tools, RPA, Hugging Face, GitLab, etc.
    • Familiarity with anomaly detection techniques and methodologies.
    • Excellent problem-solving skills and ability to thrive in a fast-paced, dynamic environment.
    • Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and clients.
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