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Palo Alto

    Healthcare AI/ML Architect - Palo Alto, United States - CyberTec

    CyberTec
    CyberTec Palo Alto, United States

    3 weeks ago

    Default job background
    Description
    Role: Healthcare AI/Client Architect II
    Location: Palo Alto, CA II Hybrid or remote but must be in CA
    Duration: 12 months

    Needed:Strong Healthcare domain experience, Data Science, AI/Client

    Client Comments: We need a Good Healthcare Architect who has Good data science, AI/Client along with data background and cloud
    • Design and architect integration solutions for bringing together disparate systems, applications, and data sources to achieve seamless interoperability.
    • Break down large-scale project requirements into manageable epics and user stories, collaborating closely with product owners and stakeholders to prioritize and define feature sets.
    • Develop architectural designs and technical specifications for integrating ancillary applications with primary systems, ensuring alignment with business goals and scalability requirements.
    • Lead cross-functional teams in the implementation of integration solutions, providing technical guidance, mentoring, and support throughout the development lifecycle.
    • Evaluate and select appropriate integration patterns, technologies, and tools based on project requirements, industry best practices, and emerging trends.
    • Define and enforce architectural standards, design principles, and coding guidelines to ensure consistency, reliability, and maintainability across integrated systems.
    • Conduct performance tuning, scalability assessments, and security reviews of integration solutions to optimize efficiency and mitigate risks.
    • Collaborate with infrastructure teams to design and implement robust infrastructure solutions that support seamless integration and high availability of applications.
    • Stay abreast of advancements in integration technologies, methodologies, and industry standards, proactively identifying opportunities for innovation and improvement.
    • Serve as a subject matter expert on integration architecture, epics, and ancillary applications, providing guidance and thought leadership to internal teams and external stakeholders.
    Qualifications:
    • Proven experience with project & data architecture or integration architect, with a strong focus on designing and implementing complex integration solutions in healthcare domain
    • Strong knowledge of Git, CI/CD, Terraform
    • Good experience in data science along with AI/Client activities (Databricks, Python, MLflow)
    • Knowledge of healthcare data, api endpoints/context
    • Knowledge of prediction implications within workflows.
    • Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions and architectural designs.
    • Good experience with cloud services (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is desirable
    • Bachelor's or master's degree in computer science, information technology, or related field.
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