DevOps Engineer, AI Platform

Dayforce; Columbus (OH); On-site; USD 120,000 - 160,000; Full time

Job summary

Ultimus is expanding its AI infrastructure team to deliver robust, scalable AI platform infrastructure on Microsoft Azure. You will build and run the delivery pipeline and runtime that enables AI development pods to test, release, and operate AI applications, models and prompts with strong governance.

The role focuses on automating infrastructure as code, setting up multi-environment workflows, and implementing comprehensive monitoring, logging, and cost tracking to support AI workloads safely

Qualifications

• Experience building CI/CD pipelines for AI platforms.
• Strong understanding of cloud infrastructure and security.
• Ability to design scalable, resilient runtimes for AI workloads.

Responsibilities

• Build and run delivery pipeline and runtime for AI platform on Azure.
• Create CI/CD pipelines in Azure DevOps for AI apps and models.
• Set up separate development, test, and production environments.
• Implement monitoring, logging, tracing and alerting for AI apps.
• Manage releases, rollbacks, incident response and change control.

Skills

Azure

AKS

CI/CD

Monitoring

Tools

Azure DevOps

Container Registry

API Management

Job description

About the team

Ultimus is investing in AI to transform how fund administration work gets done, from generative AI assistants, intelligent document processing and machine learning to a growing set of agentic AI workflows. The AI Infrastructure team builds and runs the secure, shared platform that all of our AI solutions are built on, giving teams across the firm a consistent, well-governed foundation for building, deploying and scaling AI applications, models and agents. You will join early and help shape the platform and practices the rest of the firm builds on.

About the role

As DevOps Engineer you build and run the delivery pipeline and runtime for our AI platform, so the AI Development pods can build, test and release AI applications, models and agents quickly and safely.

What you'll do

• Build and maintain infrastructure as code for the AI platform on Azure (AKS, container registry, API Management, networking and supporting services).
• Create CI/CD pipelines in Azure DevOps for AI applications, agents, models and prompts, including automated testing and evaluation gates before release.
• Set up separate development, test and production environments so teams can build and run controlled pilots.
• Implement monitoring, logging, tracing and alerting for AI applications, agents and model usage, including cost and token tracking.
• Manage releases, rollbacks and incident response, and support the platform's kill-switch and change-control processes.
• Automate routine operations and keep the platform patched, scalable and resilient.