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E

Enterprise Application AI Architect

Evolutyz
๐Ÿ‡บ๐Ÿ‡ธ United States
Hybrid
1 month ago
  • AI
  • Azure
  • Gemini
  • Microservices
  • Machine Learning
  • Azure AI
  • Azure OpenAI
  • Data Architecture
  • Logic Apps
  • DevSecOps
  • CI/CD
  • Azure DevOps
  • GitHub Actions
  • GCP
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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

Enterprise Application AI Architect ยท Evolutyz

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