Solution Architect

Zealogics; United States; On-site; USD 140,000 - 180,000; 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. This role combines cloud architecture, application modernization, microservices, API strategy, and Generative AI expertise.

The successful candidate will drive solution architecture initiatives, collaborate with stakeholders across business units, and deliver cloud-native platforms that support business transformation goals.

Qualifications

• 10+ years of software engineering, cloud architecture, or solution architecture.
• 5+ years designing enterprise solutions on Microsoft Azure.
• Strong experience with Azure App Services, APIM, Application Gateway (WAF), Azure Monitor, and ACR.
• Expertise in microservices, REST APIs, and containerized deployments.
• 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.
• 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.

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.

Skills

Azure Solutions Architecture

Cloud Modernization

Microservices

API Strategy

Generative AI

Security & Governance

DevOps & CI/CD

Observability

Cross-functional Collaboration

Stakeholder Communication

Tools

Azure App Services

APIM

Application Gateway (WAF)

Azure Monitor

Azure Container Registry (ACR)

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.

Originally posted on Himalayas