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Zealogics.com

Solution Architect

Posted 2 hours ago
$75 - $85 per hour
10+ years experience
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AI Summary

The Solution Architect will lead the design and implementation of scalable, secure, and AI-enabled enterprise solutions on Microsoft Azure. They are responsible for driving cloud modernization, application transformation, and the integration of advanced AI technologies into enterprise platforms.

  • We are seeking an experienced Azure Solution Architect to lead the design and implementation of scalable, secure, AI-enabled enterprise solutions on Microsoft Azure. This role requires a strong mix of cloud architecture, application modernization, microservices, API strategy, and Generative AI expertise.

    The ideal candidate will be responsible for driving solution architecture initiatives, collaborating with cross-functional stakeholders, and delivering innovative cloud-native and AI-powered platforms that support business transformation goals.

    Key Responsibilities

  • Design and architect enterprise-scale solutions on Microsoft Azure.
  • Lead cloud modernization, application transformation, and AI adoption initiatives.
  • Develop cloud-native applications using microservices and container-based architectures.
  • Design secure API ecosystems using Azure API Management (APIM).
  • Build and integrate AI-powered solutions utilizing Azure OpenAI, Azure AI Search, and RAG architectures.
  • Define architecture standards, governance frameworks, scalability, resiliency, and security best practices.
  • Create architecture documentation, technical roadmaps, and solution designs.
  • Drive DevOps, CI/CD, monitoring, observability, and operational excellence initiatives.
  • Ensure compliance with cloud security, IAM, governance, and enterprise standards.
      • Preferred Qualifications

      • Microsoft Azure Solutions Architect Certification (AZ-305)
      • Azure AI Engineer Certification
      • Experience delivering enterprise AI/GenAI transformation programs
      • Experience with LangChain, Vector Databases, and Conversational AI platforms
      • Exposure to AI governance, observability, and responsible AI practices
      • Stakeholder Communication Requirements

      • Proven experience collaborating with business stakeholders, product owners, engineering teams, security teams, and executive leadership.
      • Ability to translate business requirements into scalable technical solutions.
      • Experience leading architecture reviews, workshops, and technical discussions.
      • Strong presentation and communication skills with both technical and non-technical audiences.
      • Ability to influence decision-making and drive alignment across cross-functional teams.
      • Required Skills & Experience

      • 10+ years of Software Engineering, Cloud Architecture, or Solution Architecture experience.
      • 5+ years of hands-on experience designing enterprise solutions on Microsoft Azure.
      • Strong experience with Azure App Services, APIM, Application Gateway (WAF), Azure Monitor, and Azure Container Registry (ACR).
      • Expertise in microservices architecture, REST APIs, and containerized applications.
      • Hands-on experience with Azure OpenAI, Azure AI Search, Prompt Engineering, and RAG solutions.
      • Experience integrating LLMs such as GPT, Claude, Gemini, or Llama into enterprise applications.
      • Strong knowledge of PostgreSQL, Azure Cosmos DB, and modern data architectures.
      • Experience with Azure DevOps, CI/CD pipelines, DevSecOps, and infrastructure automation.
      • Solid understanding of cloud security, IAM, authentication, authorization, and governance frameworks.

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