Enterprise Application AI Architect

Evolutyz

  • Houston, TX
  • 4 days ago

    Highlights

    Integration & Data Architecture: Design enterprise integration solutions using Azure API Management, Logic Apps, Service Bus, Event Grid, and Event Hubs. AI & Generative AI Solutions: Design and implement AI-enabled business capabilities using Gemini Enterprise for CX, Azure AI Services, and Azure OpenAI.

    Numbers & Facts

    LocationHouston, TX

    Description

    Summary:

    We are seeking a skilled professional for a 6-month hybrid position located in Houston, TX. The role involves working 4 days onsite and 1 day remote per week, with an immediate start date. The candidate will be responsible for modernizing legacy applications, designing AI solutions, and establishing integration and data architectures.

    Responsibilities:

    • Application Modernization & Cloud Transformation: Assess and modernize legacy applications using cloud-native architecture patterns.
    • Design and implement scalable solutions using Azure PaaS services and Gemini Enterprise for CX.
    • Lead migration of on-premises applications and services to Microsoft Azure.
    • Transform monolithic applications into microservices and API-driven architectures.
    • Develop modernization roadmaps aligned to business goals and customer experience objectives.
    • Establish architectural standards, governance, security, and operational best practices.
    • AI & Generative AI Solutions: Design and implement AI-enabled business capabilities using Gemini Enterprise for CX, Azure AI Services, and Azure OpenAI.
    • Develop Generative AI solutions including enterprise copilots, intelligent assistants, document intelligence, and knowledge management systems.
    • Integration & Data Architecture: Design enterprise integration solutions using Azure API Management, Logic Apps, Service Bus, Event Grid, and Event Hubs.
    • Enable hybrid connectivity between on-premises and cloud platforms.
    • Architect real-time and batch synchronization solutions across enterprise applications.
    • DevSecOps & Platform Engineering: Establish CI/CD pipelines using Azure DevOps and GitHub Actions.
    • Embed security and compliance controls throughout the software development lifecycle.

    Requirements:

    • 10 years of experience in software engineering, architecture, and enterprise application delivery.
    • 5 years of hands-on Azure/Google cloud architecture experience.
    • 3 years of experience designing and implementing AI/Generative AI solutions.
    • Proven success leading large-scale application modernization and cloud transformation initiatives.

    Required Skills:

    • Experience delivering customer-facing digital platforms and enterprise integration solutions.

    Preferred Skills:

    N/A

    Benefits:

    N/A

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