Azure AI Platform Architect

Job Description 

Description: We are seeking a multifaceted Azure Platform Architect who combines deep hands-on experience with cloud infrastructure administration, data architectures and knowledge of AI platforms.
Key Responsibilities:
· Design and administer Azure services including Databricks, Data Factory, Synapse, Cosmos DB, Function Apps, SQL DB, ADLS Gen2, and Azure Fabric.
· Define and implement enterprise-grade cloud infrastructure for data lakes and microservices, including performance monitoring, alerting, and code lifecycle management.
· Design and automate infrastructure provisioning through Infrastructure as Code (IaC) to support CI/CD pipelines.
· Architect and implement AI platforms that support machine learning, deep learning, and data science workflows.
· Evaluate and integrate AI tools and frameworks, ensuring compatibility with enterprise systems and scalability requirements.
· Collaborate with DevOps, Security, and Infrastructure teams to enforce secure and compliant development and deployment practices.
· Drive enterprise governance initiatives, ensuring SLA adherence and resilient infrastructure (backup, DR, monitoring).
Primary Skills:
· Azure infrastructure administration with strong hands-on knowledge in Databricks, Synapse, Data Factory, Cosmos DB, Function Apps, SQL DB, ADLS Gen2, and Git.
· Experience with Infrastructure as Code tools (Terraform, or similar).
· Coding proficiency in Python or Scala; scripting knowledge with PowerShell or Bash is a plus.
· Solid grasp of data architecture, APIs, and microservices.
· Understanding of version control systems (e.g., Git) and infrastructure testing practices.
· Good understanding of AI and ML platform architecture and relevant frameworks.