Azure & AI Platform Architect

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.

Secondary Skills (Good to Have):
• Exposure to Azure DevOps, Power BI, APIM, Logic Apps, and AI/ML tooling.
• experience with data governance, platform monitoring, disaster recovery, and scalability optimization