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DevOps Engineer - Artificial Intelligence

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Hybrid

DevOps Engineer - Artificial Intelligence

Career Movement

DevOps Engineer - Artificial Intelligence

Skills

DevOpsMachine LearningAIAzure

13 days ago

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Important information


Contract type:

Permanent

Location:

Los Angeles, CA, USA

Work mode:

Hybrid

Published on:

7 October 2026

What they need


We're recruiting an AI DevOps Engineer for a well-known global professional services firm, based in either Downtown Los Angeles or New York. You'd own the deployment pipelines and supporting infrastructure behind their AI, ML, and agentic AI applications. Hybrid schedule, 3 days onsite.

The Role

  • Build and maintain Azure DevOps CI/CD pipelines for AI/ML apps across dev, test, staging, and production
  • Own the deployment lifecycle, including build automation, testing, security validation, containerization, release promotion, and rollback
  • Create reusable YAML pipeline components that follow the firm's engineering standards
  • Work closely with AI and ML engineers to understand app architecture, dependencies, and hosting needs
  • Partner with internal infrastructure teams to scope and provision environments for AI/ML workloads
  • Support deployments across Microsoft Azure and on-prem VM and VDI environments

What We're Looking For

  • 5+ years in DevOps, cloud engineering, platform or infrastructure engineering, or application deployment
  • 3+ years hands-on building and maintaining CI/CD pipelines in Azure DevOps
  • Strong Azure DevOps skills, including YAML pipelines, release automation, service connections, approvals, and access controls
  • Solid grasp of CI/CD, DevSecOps, release management, and change control
  • Experience deploying containerized AI/ML, GenAI, or data-heavy apps across Azure and on-prem
  • Bachelor's in Computer Science, Information Systems, Engineering, or a related field

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