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We are seeking a highly experienced Azure AI, AIOps & MLOps Architect to lead enterprise-scale AI platform engineering, cloud modernization, DevSecOps transformation, and intelligent automation initiatives. The ideal candidate should possess deep expertise in Microsoft Azure, Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Kubernetes, Terraform, Azure DevOps, and enterprise observability platforms. The role will focus on designing scalable AI platforms, implementing MLOps and AIOps capabilities, enabling Agentic AI architectures, and driving cloud-native engineering practices across the organization. Key Responsibilities Cloud Architecture & Engineering - Design and implement scalable, secure, and highly available solutions on Microsoft Azure. - Define cloud architecture standards, reference architectures, and best practices. - Lead cloud migration and modernisation initiatives across enterprise workloads. - Implement multi-region disaster recovery and business continuity strategies. - Oversee Azure networking, identity, security, and governance frameworks. DevOps & CI/CD - Architect and implement end-to-end CI/CD pipelines using Azure DevOps or GitHub Actions. - Drive DevSecOps culture embedding security scanning, quality gates, and compliance into the delivery pipeline. - Champion Infrastructure-as-Code (IaC) practices using Terraform, Bicep, or ARM templates. - Establish branching strategies, release management, and workplace promotion standards. - Define and enforce platform engineering standards and internal developer tooling. AI & Machine Learning Integration - Architect AI/ML solutions leveraging Azure AI services Azure OpenAI, Azure Machine Learning, Azure AI Foundry, and Cognitive Services. - Design intelligent automation and agentic workflows integrated into enterprise DevOps processes. - Implement AI-powered capabilities such as code review assistance, anomaly detection, predictive analytics, and natural language automation. - Define AI governance frameworks: model evaluation, prompt management, responsible AI, and cost controls. - Design and implement enterprise MLOps frameworks. - Build automated model training, validation, deployment, and monitoring pipelines. - Establish model governance and lifecycle management. Generative AI & Agentic AI - Design enterprise GenAI solutions using Azure OpenAI. - Build AI Agents using Azure AI Foundry. - Develop Agent-to-Agent communication patterns. - Implement Retrieval Augmented Generation (RAG) architectures. - Build enterprise Knowledge Management and AI Skill Registry platforms. - Design multi-agent orchestration frameworks. Leadership & Stakeholder Engagement - Serve as the technical authority and subject matter expert for Azure AI and DevOps practices. - Mentor and guide junior architects, developers, and DevOps engineers. - Collaborate with business stakeholders, product owners, and vendors to translate requirements into technical solutions. - Produce architecture documentation, decision records (ADRs), and roadmaps. - Represent the technology function in enterprise architecture forums and governance boards. Required Qualifications - Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. - 10+ years of experience in cloud engineering and architecture. - 5+ years of hands-on experience with Microsoft Azure across compute, networking, storage, identity, and data services. - Proven experience designing and implementing enterprise-grade CI/CD pipelines. - Strong hands-on expertise with Infrastructure-as-Code (Terraform, Bicep, or ARM). - Demonstrated experience architecting and deploying AI/ML solutions on Azure (Azure OpenAI, Azure ML, AI Foundry). - Deep knowledge of DevSecOps principles, tools, and practices. - Experience with containerisation and orchestration: Docker, Kubernetes (AKS). - Proficiency in scripting and development: Python, PowerShell, Bash. - Excellent communication and stakeholder management skills. .
India alone has 1,433 of them. Here's how to pick your next move.
4.658Jobs
1.433IN
70%EN
The devops job market is concentrated. India has 1,433 open roles, Poland has 560, and the US has 432. If you're based elsewhere or willing to relocate, knowing where the volume is helps you focus your search instead of applying blind.
Three-quarters of the ads are written in English—3,280 out of 4,658. This tells you about the ad itself, not whether the role requires you to speak English on the job. Check each posting carefully for language expectations.
A handful of employers are hiring hard right now. FullStack has 69 open devops positions, Link Group has 57, Upvanta has 36, and FlexBoard has 28. If you're building a target list, these four are worth researching deeply—they're actively scaling.
When you interview, expect questions about your incident response process. Hiring managers want to know how you've handled a real outage: what monitoring alerted you, what you did first, and what you'd do differently next time. Prepare a story with those three pieces.