Azure DevOps With AI Job ID: 416555

Viraaj HR Solutions; Delhi; On-site; INR 1,400,000 - 2,200,000; Full time

Benefits offered by this job

Azure certification sponsorship

GenAI upskilling programs

On-site tech hub environment

Job summary

Viraaj HR Solutions in Delhi seeks a hands-on Azure DevOps expert to design and deploy AI-enabled pipelines. You will integrate AI/ML models, manage IaC with ARM/Bicep, and collaborate with data engineers to embed MLOps into CI/CD workflows.

The role emphasizes GitOps, blue-green deployments, and secure DevOps practices, with on-site innovation sprints and Azure AI upskilling sponsorships.

Qualifications

• Must have hands-on experience designing and deploying Azure DevOps pipelines.
• Experience integrating AI/ML models into CI/CD workflows.
• Familiarity with IaC, GitOps, and blue-green deployments.
• Strong scripting skills in Python/PowerShell and Azure CLI.

Responsibilities

• Design and deploy Azure DevOps pipelines integrated with AI/ML models.
• Implement AI-driven observability using Azure Monitor and Application Insights.
• Orchestrate IaC deployments via ARM templates and Bicep.
• Collaborate with data engineers to embed MLOps into pipelines.
• Develop AI-enhanced release workflows using REST APIs and scripts.
• Promote DevOps best practices across the organization.

Skills

Azure DevOps

CI/CD Pipelines

Azure Monitor

Python

PowerShell

GitOps

MLflow

Azure ML

LangChain

GitHub Actions

Azure CLI

ARM Templates

Tools

Azure DevOps

ARM Templates

Bicep

Python

PowerShell

MLflow

Azure ML

LangChain

GitHub Actions

Azure CLI

Job description

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.