Azure Cloud Architect

Job Title :-

Experience :

Location:

About the Role

Job Summary:

Azure Cloud Architect

Key Responsibilities:

• Design and Architect

  end-to-end cloud solutions leveraging Microsoft Azure services, ensuring scalability, performance, and security.
• Work with

  Azure Compute, Storage, AKS, Databricks, Azure Machine Learning, Azure Functions,

  and

  Azure SQL/Cosmos DB

  to develop and deploy production-grade solutions.
• Collaborate with stakeholders to understand business requirements and translate them into

  technical architecture blueprints

  .
• Integrate

  Generative AI (LLM, RAG)

  capabilities into existing or new cloud-based applications and workflows.
• Apply

  DevOps practices

  , including CI/CD pipelines (Azure DevOps, GitHub Actions) and

  Infrastructure-as-Code

  (Terraform or ARM templates).
• Support

  MLOps pipelines

  and automation for data-driven solutions and machine learning models.
• Ensure compliance with cloud governance, security, and best practices.
• Provide

  technical leadership, mentoring,

  and guidance to development and operations teams.

Required Skills & Qualifications:

• Experience:

  Minimum 6 years of overall IT experience, with at least

  4+ years of hands-on experience

  in Azure Cloud Architecture.

• Cloud Expertise:

  Strong hands-on experience with

  Azure Compute, Storage, AKS, Databricks, Azure ML, Functions, SQL,

  and

  Cosmos DB

  .

• Programming:

  Proficiency in at least one key programming language such as

  Python

  (preferred) or equivalent.

• Solution Design:

  Proven experience designing and deploying

  scalable, resilient, and cost-effective

  cloud solutions.

• GenAI & MLOps Understanding:

  Knowledge of

  LLMs, RAG architectures, MLOps pipelines,

  and related AI frameworks.

• DevOps Practices:

  Familiarity with

  CI/CD tools

  (Azure DevOps, GitHub Actions) and

  IaC tools

  (Terraform, ARM).

• Soft Skills:

  Excellent

  communication, collaboration, and stakeholder management

  abilities.

Preferred Qualifications:

• Azure certifications such as

  Microsoft Certified: Azure Solutions Architect Expert

  or

  Azure Data Engineer Associate

  .
• Familiarity with

  data pipelines

  ,

  ETL tools

  , or

  modern data lake architectures

  .
• Experience integrating

  AI/ML services

  with Azure-based applications.

Why Join Us:

• Opportunity to work on

  cutting-edge Azure and GenAI-based solutions

  .
• Collaborative environment fostering

  continuous learning and innovation

  .
• Exposure to diverse, high-impact projects across industries.