Azure AI DevOps Engineer: Build & Deploy AI Pipelines

Career Movement; Los Angeles (CA); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Career Movement is recruiting an AI DevOps Engineer for a global professional services firm located in Downtown Los Angeles or New York. You will own deployment pipelines and infra for AI/ML apps in a hybrid setup with 3 days onsite.

Responsibilities include building Azure DevOps CI/CD pipelines across dev/test/stage/prod, automating builds, validating security, containerization, release promotions, and rollback. Collaborate with ML engineers and infra teams to plan environments.

Qualifications

• 5+ years in DevOps or related engineering fields.
• 3+ years building and maintaining CI/CD pipelines in Azure DevOps.
• Knowledge of CI/CD, DevSecOps, and change control.
• Experience deploying AI/ML or data-heavy apps is a plus.

Responsibilities

• 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.

Skills

DevOps experience

Cloud engineering

Platform engineering

Application deployment

Security validation

Education

Bachelor's degree in CS/IS/Engineering

Tools

Azure DevOps

YAML pipelines

Release automation

Service connections

Job description

Career Movement is recruiting an AI DevOps Engineer for a global professional services firm located in Downtown Los Angeles or New York. You will own deployment pipelines and infra for AI/ML apps in a hybrid setup with 3 days onsite.

Responsibilities include building Azure DevOps CI/CD pipelines across dev/test/stage/prod, automating builds, validating security, containerization, release promotions, and rollback. Collaborate with ML engineers and infra teams to plan environments.