Microsoft Cloud Enterprise Architect

Summary

We are seeking a seasoned Microsoft Cloud Enterprise Architect to lead the strategic design and evolution of our enterprise-scale cloud infrastructure. In this pivotal role, you will bridge the gap between complex business requirements and robust technical solutions, ensuring our environment leverages the full potential of Microsoft Cloud technologies. Your expertise will be instrumental in driving innovation, optimizing system performance, and integrating advanced capabilities such as Generative AI into our core architecture. This position is critical for maintaining high availability, security, and scalability across our digital ecosystem while guiding teams through complex technical transformations.

Responsibilities

• Design and architect comprehensive cloud solutions utilizing Microsoft Cloud platforms to meet evolving enterprise needs.
  
• Develop and maintain precise technical documentation that outlines system architectures, integration patterns, and operational procedures.
  
• Establish and oversee AI Evaluation Frameworks to assess, validate, and deploy artificial intelligence initiatives effectively.
  
• Provide high-level application support and conduct deep-dive troubleshooting to resolve critical system issues.
  
• Implement and manage comprehensive system monitoring strategies to ensure real-time visibility into infrastructure health.
  
• Drive continuous performance optimization initiatives to enhance system efficiency and reduce latency.
  
• Define and enforce best practices for Cloud Architecture and Microsoft Cloud Enterprise Architecture across the organization.
  
• Lead the integration of Generative AI technologies into existing business processes and applications.
  

Requirements

Requirements:

• Possess 4-6 years of hands-on experience in IT Services, specifically within cloud architecture roles.
  
• Demonstrate proven expertise in Microsoft Cloud Enterprise Architecture and general Cloud Architecture principles.
  
• Show strong proficiency in creating Technical Documentation and applying AI Evaluation Frameworks.
  
• Have a solid background in Application Support, Troubleshooting, and System Monitoring.
  
• Display a track record of delivering Performance Optimization results in complex environments.
  
• Possess knowledge and practical experience with Generative AI applications and their architectural implications.
  
• Ability to translate business objectives into scalable, secure, and efficient technical strategies.