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    Generative AI Engineer - Phoenix, United States - Atos

    Atos
    Atos Phoenix, United States

    2 weeks ago

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    Description
    • 10+ Years; Details: Gen AI Architects are responsible for designing, AI systems that can transform the way we do business, serve customers, and manage risks.
    • You will work with a multidisciplinary team of experts, including data scientists, engineers, analysts, and business stakeholders, to deliver AI solutions that are scalable, reliable, and ethical.
    • You will also have the opportunity to learn from the best in the industry and grow your skills and career in a fast-paced and dynamic environment.

    Responsibilities:

    • Define the vision, strategy, and roadmap for AI solutions in the financial industry.
    • Design, develop, and deploy AI systems that can solve complex business problems and create value for customers and stakeholders.
    • Ensure the quality, performance, and security of AI systems, and adhere to the best practices and standards for AI development and deployment.
    • Collaborate with data scientists, engineers, analysts, and business stakeholders to understand the requirements, challenges, and opportunities for AI solutions.
    • Communicate the benefits, risks, and limitations of AI solutions to various audiences, and provide guidance and support for AI adoption and governance.
    • Research and evaluate new technologies, tools, and methods for AI development and deployment, and stay updated with the latest trends and developments in the field.

    Qualifications

    • Bachelor's degree or higher in computer science, engineering, mathematics, or related field.
    • At least 5 years of experience in AI development and deployment, preferably in the financial industry.
    • Proficient in one or more programming languages, such as Python, Java.
    • Proficient in LLMs and Vector Databases
    • Expertise in one or more AI frameworks, such as LangChain.
    • Knowledge of AI concepts, such as machine learning, deep learning, natural language processing, computer vision, or reinforcement learning.
    • Experience in working with large and complex data sets, and using cloud platforms, such as AWS, Azure, or Google Cloud.
    • Strong analytical, problem-solving, and communication skills.
    • Ability to work independently and collaboratively in a team.
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