DevOps Engineer - Artificial Intelligence

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

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