Generative AI Architect - Philadelphia, United States - KTek Resourcing

    KTek Resourcing
    KTek Resourcing Philadelphia, United States

    Found in: Appcast US C2 - 1 week ago

    Default job background
    Insurance
    Description

    We are looking for a highly motivated and experienced Generative AI Full Stack Architect to join our

    team in USA. You will be responsible for the design, development, and deployment of generative AI

    models and systems that will power our next-generation products and services. You will work closely

    with a team of talented engineers and scientists to push the boundaries of what is possible with

    generative AI.

    Responsibilities:

     Design, develop, and deploy generative AI models and systems across the full stack, from data

    pipelines to front-end applications.

     Collaborate with data scientists, machine learning engineers, and software engineers to define

    and execute the technical roadmap for generative AI projects.

     Lead the architecture and design of generative AI systems, ensuring scalability, performance,

    and reliability.

     Develop and implement best practices for generative AI model development, deployment, and

    monitoring.

     Stay up-to-date on the latest advancements in generative AI research and apply them to our

    products and services.

     Communicate effectively with technical and non-technical stakeholders to ensure alignment on

    generative AI initiatives.

     Design generative AI models and outputs seamlessly into user interfaces.

     Stay up-to-date on the latest front-end frameworks and libraries (e.g., React, , Angular)

    and apply them to generative AI projects.

     Optimize front-end performance and responsiveness for various platforms and devices.

     Collaborate with designers and UI/UX experts to ensure a consistent and intuitive user

    experience.

     Design robust and scalable back-end APIs for generative AI models.

     Implement efficient data pipelines to feed data to and extract outputs from generative AI

    models.

     Choose and optimize backend technologies (e.g., Python, Java, ) based on model

    requirements and system limitations.

     Ensure the security and reliability of generative AI systems in production.

     Utilize M365 Power platforms Co-pilot to enhance Gen AI Capabilities in the o365 applications.

     Frame proper architecture , governance and data loss prevention policies for Co-Pilot to be

    implemented in the organisation

     Leverage AI Builder to incorporate artificial intelligence capabilities into Power Apps, Power

    Virtual Agents and Power Automate workflows

     Guide the application engineers to design, develop , and implement applications and

    integrations utilizing Microsoft Graph APIs.

    Qualifications:

     12+ years of experience in software engineering, with a focus on full-stack development.

     4+ years of experience with generative AI models and techniques, such as GANs, VAEs, and

    autoregressive models.

     Strong understanding of deep learning frameworks, such as TensorFlow, PyTorch, or MXNet.

     Excellent communication, collaboration, and problem-solving skills.

     Ability to work independently and as part of a team.

     Strong passion for generative AI and its potential to transform the world.