Solution Architect

Zealogics; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

Zealogics is seeking an experienced Azure Solution Architect to lead design and implementation of scalable, secure, AI-enabled enterprise solutions on Microsoft Azure. You will drive cloud modernization and API strategy across the organization.

This role requires hands-on mastery of microservices, containers, Azure OpenAI, and AI-powered platforms, plus collaboration with stakeholders to deliver transformative cloud-native solutions with strong governance and security.

Qualifications

• 10+ years in software engineering or solution architecture.
• 5+ years designing enterprise solutions on Microsoft Azure.
• Experience with Azure App Services, APIM, WAF, Monitor, and ACR.
• Hands-on experience with Azure OpenAI, Azure AI Search, and RAG.
• Experience integrating LLMs like GPT, Claude, Gemini, or Llama.
• Knowledge of PostgreSQL and Azure Cosmos DB.

Responsibilities

• Design and architect enterprise-scale solutions on Microsoft Azure.
• Lead cloud modernization and AI adoption initiatives.
• Develop cloud-native apps using microservices and containers.
• Drive DevOps, CI/CD, monitoring, and governance.

Skills

Cloud Architecture

Solution Architecture

AI/GenAI expertise

API design

Stakeholder communication

Tools

Azure API Management

Azure OpenAI

Azure Cosmos DB

Azure Monitor

Azure Container Registry

Job description

• 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.