AI Dev OPS Engineer - hybrid - onsite 10-12 days a month

Calance, Inc.; New York (NY); Hybrid; USD 160,000 - 175,000; Full time

Job summary

Calance, Inc. is seeking an AI Dev OPS Engineer to design, implement, and manage automated deployment pipelines for AI/ML applications. The role supports Azure DevOps CI/CD across development, testing, staging, and production, with opportunities for hybrid work and in-office presence in SF, LA, or NYC.

The candidate will own deployment lifecycles, build reusable pipelines, and collaborate with AI/ML teams. Requires 5+ years in DevOps roles and 3+ years in Azure DevOps.

Qualifications

• Bachelor's degree in computer science, information systems, engineering or related field.
• 5+ years of industry experience in DevOps, cloud engineering, platform and infrastructure engineering, or application deployment.
• 3+ years hands-on experience designing, building, and maintaining CI/CD pipelines using Azure DevOps.
• Experience deploying and supporting containerized AI/ML, Generative AI, or data-intensive applications across Microsoft Azure and on-premises environments.

Responsibilities

• Own the application deployment lifecycle, including build automation, testing, security validation, containerization, artifact management, release promotion, deployment verification, and rollback procedures.
• Develop and maintain Azure DevOps YAML pipelines and reusable pipeline components.
• Collaborate with AI Software Engineers and ML Engineers to understand architecture, dependencies, hosting requirements, and operational considerations.
• Work with internal infrastructure teams to define infrastructure requirements and support provisioning for AI/ML apps.
• Support deployments across Microsoft Azure and on-premises environments.
• Protect sensitive information retained by the firm.

Skills

CI/CD proficiency

DevSecOps practices

Automation

IaC

Collaboration

Education

Bachelor's degree in CS/IS/Engineering

Tools

Azure DevOps

YAML pipelines

Azure cloud

Job description

Job Title AI Dev OPS Engineer - hybrid - onsite 10-12 days a month - ID: 45091

Duration Permanent

Start Date ASAP

Location SF, LA or NYC, CA

AI Dev OPS Engineer

The AI DevOps is an integral part of Latham’s 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 DevOps 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.

Responsibilities & Qualifications

Other key responsibilities include:

• 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 DevOps 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 Latham & Watkins 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 that Latham & Watkins retains

We’d love to hear from you if you:

• Demonstrate proficiency with Azure DevOps, 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, DevSecOps 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

And have:

• A bachelor’s degree in computer science, Information Systems, Engineering or related fields
• A minimum of five (5) years of industry experience in DevOps, 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 DevOps
• Experience deploying and supporting containerized AI/ML, Generative AI, or data-intensive applications across Microsoft Azure and on-premises environments

Pay Range - 160-175K