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Azure DevOps with AI Engineer

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Onsite

Azure DevOps with AI Engineer

Black And White Business Solutions

Azure DevOps with AI Engineer

Skills

DockerPythonTesting & QAMicroservicesGitMachine LearningAIGitHubKubernetesComplianceTerraformAzure

11 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

10 October 2026

What they need


HIRING FOR ONE OF THE TOP REPUTED MNC'S!

Job Title: Azure DevOps with AI Engineer

Location: Bangalore/ Hyderabad/ Pune

Experience: 6 to 10 Years

Employment Type: Full-Time

Job Description

We are looking for a skilled Azure DevOps with AI Engineer to design, implement, and maintain CI/CD pipelines, automate infrastructure deployment, and support cloud-native applications on Microsoft Azure adopting AI/Llm's. The ideal candidate should have hands-on experience with Azure services, DevOps tools, infrastructure automation, cloud operations with LLM/RAG AI Integration.

Key Responsibilities

  • Design, implement, and manage CI/CD pipelines using Azure DevOps with AI Integration.
  • Automate infrastructure provisioning using Terraform, ARM Templates, or Bicep.
  • Manage Azure cloud resources and ensure high availability, scalability, and security.
  • Implement Infrastructure as Code (IaC) best practices.
  • Configure and maintain source control repositories, branching strategies, and release management processes.
  • Monitor applications and infrastructure using Azure monitoring tools.
  • Collaborate with development, QA, and operations teams to streamline deployment processes.
  • Troubleshoot deployment, infrastructure, and application-related issues.
  • Ensure compliance with security and governance standards.

Required Skills

  • Strong experience with Azure DevOps Services.
  • Hands-on experience with CI/CD pipeline creation and maintenance.
  • Experience with Microsoft Azure Cloud Services.
  • Knowledge of Terraform, ARM Templates, or Bicep.
  • Experience with Git, GitHub, or Azure Repos.
  • Strong experience with LLM's,RAG,ML Artificial Intelligence
  • Knowledge of Docker and Kubernetes (AKS preferred).
  • Experience with scripting languages such as PowerShell, Bash, or Python.
  • Understanding of monitoring and logging tools in Azure plus AI Integration.
  • Familiarity with Agile/Scrum methodologies.

Preferred Skills

  • Experience with container orchestration and microservices architecture.
  • Azure certifications are an added advantage.
  • Exposure to security, compliance, and cloud governance practices.

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