DevOps Engineer, AI Platform
Free account needed to apply or save. It takes a minute, and we'll bring you right back to this job.
How well do you match this job?
Key details
- Location
- Columbus, OH, United States
- Work style
- Onsite
- Function
- DevOps / Infrastructure
- Focus area
- AI / ML
- Posted
- 12h ago
Skills
aksazureazure devopsci/cdfund administrationgenerative aiincident responseinfrastructure as codemachine learningrelease managementtest automation
About the role
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.
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.