Azure DevOps With AI

About the Opportunity
A fast-scaling technology consultancy in the Enterprise AI & Cloud Automation sector, we architect intelligent DevOps pipelines that fuse Azure-native tooling with generative AI capabilities to accelerate software delivery, improve system reliability, and enable autonomous operations for global enterprises. Our teams build smart CI/CD workflows, AI-augmented monitoring, and self-healing infrastructure—turning DevOps into a strategic growth engine.

Role & Responsibilities

• Design and deploy Azure DevOps pipelines integrated with AI/ML models for automated testing, deployment gating, and anomaly detection.


• Implement AI-driven observability solutions using Azure Monitor, Application Insights, and custom LLM-based alerting logic.


• Orchestrate infrastructure-as-code (IaC) deployments via Azure CLI, ARM templates, and Bicep—ensuring reproducibility and drift detection.


• Collaborate with data engineers to embed MLOps into Azure Pipelines, enabling model retraining and versioning via MLflow/Azure ML.


• Build AI-enhanced release management workflows using Azure DevOps REST APIs and custom Python/PowerShell scripts.


• Champion DevOps best practices: Infrastructure-as-Code, GitOps, blue-green deployments, and shift-left security within AI-augmented pipelines.

Skills & Qualifications

• Must-Have


• Azure DevOps


• CI/CD Pipelines


• Azure Monitor


• ARM Templates


• Python


• PowerShell


• GitOps


• MLflow


• Preferred


• Azure ML


• LangChain


• GitHub Actions

Benefits & Culture Highlights

• Work on cutting-edge AI-DevOps fusion projects with global clients.


• Access to Azure AI certification sponsorships and GenAI upskilling programs.


• On-site tech hub environment with daily innovation sprints and hackathons.