Solution Architect

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

• • 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.