Solution Architect

Zealogics Llc
New York, NY, United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$150,100.0 - $227,000.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Application Services User Authentication Microsoft Azure Cloud Computing Security Cloud Engineering Continuous Integration Data Architecture DevOps Identity and Access Management PostgreSQL
+17 more
Search Technologies Software Engineering Systems Integration Enterprise Software Applications Chatbots Large Language Models Prompt Engineering Generative AI Containerization Infrastructure Automation Frameworks Cosmos DB Cloud Migration Restful APIs GPT Devsecops Api Management Microservices

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., Harness your technical expertise to shape innovative client solutions and bridge product capabilities with real-world challenges. Collaborate closely with diverse teams, be the cat…
  • 1 day ago

Requirements

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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