[Hiring] Solution Architect @Zealogics.com

Role 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.

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

Requirements

• 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.