Azure AI Architect - Solution Design

About Us

Role Overview

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.
• Hands-on programming in .NET/C# or Python (must-have).
• Experience with MLOps frameworks (Azure ML Pipelines, MLflow, Kubeflow).
• Proficiency in CI/CD, IaC (ARM, Bicep, Terraform), and Kubernetes/AKS.
• Expertise in Windows Server (primary) and Linux/Unix (secondary) environments.
• Familiarity with data engineering pipelines and AI integration patterns.
• Knowledge of Responsible AI, security, compliance, and governance frameworks.
• Bonus : Experience deploying GenAI solutions with Azure OpenAI or integrating third-party AI APIs.
  

Soft Skills

• Ability to balance strategic design with hands-on execution.
• Excellent problem-solving and analytical abilities.
• Strong client-facing and communication skills.
• Collaborative leadership to mentor and guide cross-functional teams.
  

Education & Certifications

• Bachelor's/Master's in Computer Science, IT, or related field.
• Preferred Certifications :
• Microsoft Certified : Azure Solutions Architect Expert
• Microsoft Certified : Azure AI Engineer Associate
• Microsoft Certified : Azure Data Scientist Associate
• Kubernetes CKA/CKAD, Terraform Associate
  

Why Join Us?

• Shape AI-first cloud architectures for global enterprises.
• Be part of a fast-scaling IT services company with 200+ professionals and global exposure.
• Work with cutting-edge AI, Cloud, and Data solutions.
• Competitive compensation + performance bonuses.
• Inclusive, collaborative, and innovation-driven culture.