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Solution Architect - Zealogics.com

Zealogics • 5 days ago
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Salary
≈ $104k – $223k per year (Estimated)
Location
Remote (location not specified)
Seniority
Architect · 10+ years exp

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Oct 16, 2026.

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Zealogics

Zealogics is an engineering and IT services and staffing company headquartered in Branchburg, New Jersey, delivering enterprise AI, cloud and data programmes, semiconductor equipment engineering and contract talent. It reports more than 800 engineers across over 10 countries and ISO 27001 certification, with assignments in Taiwan, California, New Jersey, the Netherlands, Belgium and India. It places engineers with client companies in roles such as process, assembly and quality engineers, HIL and controls engineers, electronics and firmware engineers, cloud and data architects, DevOps leads and technical program managers.
zealogics.com • HQ: Branchburg, United States • AI Consulting & Integration • Engineering Services • IT Staffing & Staff Augmentation • 501-1000 employees • Est. 2012

  • 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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