AI DevOps Engineer

Hybrid - onsite 10-12 days a month in Downtown Los Angeles

The AI Dev Ops is an integral part of the Technology & Information Services team. This role will be responsible for designing, implementing, and managing automated deployment pipelines and supporting infrastructure for AI, ML, and agentic AI applications, while designing, building, implementing, and maintaining automated Azure Dev Ops CI/CD pipelines for AI/ML applications across development, testing, staging, and production environments. This role will be located in either our Global Services Office (Downtown Los Angeles) or New York office.

Please note that this role may be eligible for a flexible working schedule that allows for a hybrid and in-office presence.

• Owning the application deployment lifecycle, including build automation, testing, security validation, containerization, artifact management, release promotion, deployment verification, and rollback procedures
• Developing and maintaining Azure Dev Ops YAML pipelines and reusable pipeline components in accordance with established firm procedures and engineering practices
• Working closely with AI Software Engineers, Machine Learning Engineers, and other development teams to understand application architecture, dependencies, hosting requirements, and operational considerations
• Working with internal infrastructure teams to define infrastructure requirements and support the provisioning and configuration of environments required for AI/ML applications
• Supporting application deployments across Microsoft Azure and on-premises virtual machines or virtual desktop infrastructure environments
• Protecting and maintaining any highly sensitive, confidential, privileged, financial, and/or proprietary information.

• Demonstrate proficiency with Azure Dev Ops, including YAML pipelines, build and release automation, service connections, deployment environments, approvals, artifacts, variables, and access controls
• Exhibit strong understanding of CI/CD principles, automated deployment strategies, release management, Dev Sec Ops  practices, configuration management, and change-control processes
• Possess the ability to design reusable pipelines that automate application build, test, security validation, packaging, deployment, verification, promotion, and rollback activities

• A bachelor’s degree in computer science, Information Systems, Engineering or related fields
• A minimum of five (5) years of industry experience in Dev Ops, cloud engineering, platform and infrastructure engineering, or application deployment
• A minimum of three (3) years of hands-on experience designing, building, and maintaining CI/CD pipelines using Azure Dev Ops
• Experience deploying and supporting containerized AI/ML, Generative AI, or data-intensive applications across Microsoft Azure and on-premises environments