Role Overview:
We are seeking a Hands-on Azure AI Architect with expertise in Azure cloud
infrastructure, DevOps automation, and programming in .NET/C# or Python, combined
with AI solution design and deployment.
This role blends cloud architecture, AI engineering, and hands-on coding-enabling
scalable AI-driven applications for industries such as banking, healthcare, retail, and
digital platforms.
Key Responsibilities:
• Architect and implement Azure-based AI solutions leveraging Azure Cognitive
Services, Azure ML, and Azure OpenAI.
• Integrate AI/ML workloads into scalable cloud-native and hybrid infrastructures.
• Design and automate CI/CD and MLOps pipelines (Azure DevOps, GitHub
Actions).
• Build automation scripts and tools using .NET/C# or Python.
• Manage and optimize Windows Server and Linux/Unix environments for AI
workloads.
• Deploy and orchestrate AI-driven applications on Kubernetes/AKS.
• Ensure Responsible AI practices, security, compliance, and governance across
AI deployments.
• Set up observability and monitoring frameworks for AI services (App Insights,
Azure Monitor, Grafana, ELK/EFK).
• Collaborate with developers, data scientists, and business teams to translate AI
use cases into production-grade solutions.
• Mentor engineers on Azure AI, DevOps, and automation best practices.
Required Skills & Experience:
• 8-12 years of professional experience in cloud architecture, DevOps, or
infrastructure engineering, with at least 3+ years in AI/ML solution design.
• Strong expertise in Azure AI services: Cognitive Services, Azure ML, Azure
OpenAI, Synapse, Data Lake, Bot Services.