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Ai Devops Engineer Jobs in Oregon (NOW HIRING)

The Smarsh DevOps team is seeking a Linux Engineer to work closely with the development team to ensure high availability for our applications. We are looking for a Linux guru who can jump in and lead ...

Senior DevOps Engineer

Beaverton, OR

$137K - $176K/yr

DevOps EngineerMain responsibilities include work on infrastructure, integration, testing and deployment, including workflow design and collaborating with engineering and other teams on process ...

Senior DevOps Engineer

Beaverton, OR

$137K - $176K/yr

DevOps EngineerMain responsibilities include work on infrastructure, integration, testing and deployment, including workflow design and collaborating with engineering and other teams on process ...

Senior DevOps Engineer

OR · On-site +1

$150K - $200K/yr

As a Senior DevOps Engineer at BetterHelp, you'll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding ...

DevOps Engineer, Cloud Platform

OR · On-site +1

$52.75 - $72.25/hr

As a DevOps Engineer (L4) at Upstart, you will help evolve this platform to support increasing scale and complexity. You'll partner closely with SRE, Delivery, InfoSec, and Product/ML teams to ...

Senior DevOps Engineer - Infra Services

OR · On-site +1

$129K - $166K/yr

We are seeking a highly experienced Senior DevOps Engineer - Infra Services with strong operational expertise in enterprise DNS platforms to implement and support our current and future DNS ...

Senior DevOps Engineer - Storage Platforms

OR · On-site +1

$129K - $166K/yr

We are seeking a highly experienced Senior DevOps Engineer - Storage Platforms to build, automate and operate large-scale Software Defined Storage (SDS) and Kubernetes platforms in a private cloud ...

CI/CD DevOps Engineer

OR · On-site +1

$110K - $165K/yr

Summary of the CI/CD DevOps Engineer We are seeking a DevOps Engineer to design, build, and operate ... Background using AI-assisted development, code review, pipeline optimization, or automation tools ...

Senior DevOps Engineer, Ephemeral Platform

OR · On-site +1

$129K - $166K/yr

As a Senior Software Engineer, DevOps at Upstart, you will help evolve our Ephemeral Infrastructure platform: the Kubernetes-based environments, cloud infrastructure, automation, and developer ...

AI Engineer

OR · On-site +1

AI Engineer Remote, USA; potential for minimal ad hoc travel EMKS is seeking an AI Engineer to ... Familiarity with Git, Azure DevOps, CI/CD, Docker, and cloud-native development. * Strong ...

Applied AI Developer | Hybrid Build Practical AI That Powers the Work at Leatherman At Leatherman, we believe the best tools solve real problems, perform reliably, and help people accomplish more.

Applied AI Developer | Hybrid Build Practical AI That Powers the Work at Leatherman At Leatherman, we believe the best tools solve real problems, perform reliably, and help people accomplish more.

Showing results 21-40

Ai Devops Engineer information

See Oregon salary details

$17

$64

$91

How much do ai devops engineer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for ai devops engineer in Oregon is $64.00, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $73.46 per hour, depending on experience, location, and employer.

What is an AI DevOps engineer?

AI DevOps Engineers are professionals who blend expertise in artificial intelligence (AI) and DevOps practices to streamline the development, deployment, and maintenance of AI-powered applications. They automate and manage the continuous integration and continuous deployment (CI/CD) pipelines for machine learning models, ensuring scalability, reliability, and efficiency in production environments. Their role also includes monitoring AI systems, managing model versions, and collaborating with data scientists, software engineers, and IT teams to bridge the gap between development and operations. This position is crucial for organizations looking to operationalize AI solutions at scale.

What are the key skills and qualifications needed to thrive as an AI DevOps engineer?

To thrive as an AI DevOps Engineer, you need expertise in software engineering, machine learning pipelines, and cloud infrastructure, often backed by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD systems, version control (e.g., Git), and cloud platforms (AWS, Azure, GCP), as well as certifications such as AWS Certified DevOps Engineer, are highly valuable. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and adapt to evolving project requirements. These competencies are essential to ensure robust, scalable, and efficient deployment of AI solutions in production environments.

How does an AI DevOps engineer typically collaborate with data scientists and software engineers on AI projects?

An AI DevOps Engineer plays a crucial role in bridging the gap between data scientists and software engineers by streamlining the deployment and monitoring of AI models. They often work closely with data scientists to automate model training, testing, and deployment pipelines, ensuring that models move smoothly from development to production. Additionally, they collaborate with software engineers to integrate models into scalable applications, manage infrastructure, and set up monitoring systems to track performance and reliability. This role requires strong communication skills and a proactive approach to troubleshooting issues that arise in cross-functional teams.

What is the difference between Ai Devops Engineer vs Data Engineer?

AspectAi Devops EngineerData Engineer
Required CredentialsCertifications in cloud platforms, DevOps tools, AI/ML frameworksCertifications in data management, SQL, cloud platforms
Work EnvironmentCollaborates with AI/ML teams, DevOps, cloud infrastructureWorks with data pipelines, databases, big data tools
Employer & Industry UsageTech companies, AI startups, cloud service providersFinance, healthcare, e-commerce, data-driven industries

Ai Devops Engineers focus on deploying and maintaining AI/ML models in production using DevOps practices, while Data Engineers build and manage data pipelines and infrastructure. Both roles require cloud and scripting skills but serve different stages of data and AI workflows.

Will AI take AI Devops Engineer jobs?

AI DevOps Engineers focus on integrating AI models into deployment pipelines, automating infrastructure, and managing AI systems. While AI tools can automate certain tasks, the role requires expertise in both AI and DevOps practices, making complete automation unlikely in the near term. Human oversight remains essential for designing, maintaining, and improving AI deployment processes.

What are popular job titles related to Ai Devops Engineer jobs in Oregon?

For Ai Devops Engineer jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Ai Devops Engineer jobs in Oregon look for?

The top searched job categories for Ai Devops Engineer jobs in Oregon are:

Linux DevOps Engineer

Smarsh

Portland, OR • On-site

Full-time

Re-posted yesterday


Job description

The Smarsh DevOps team is seeking a Linux Engineer to work closely with the development team to ensure high availability for our applications. We are looking for a Linux guru who can jump in and lead the effort to implement DevOps best practices across our Big Data platforms. This is an opportunity to set the direction on a new, mission-critical product suite that will span hundreds of servers and petabytes of data.
The DevOps team is responsible for production monitoring and support of our applications, as well as management of builds, deployment, and configuration. Finally, they have programming experience, developing custom tools and applications to operationalize our internal processes.
Skills & Requirements
Technical Requirements
Experience with operational support of mission-critical applications on Linux and Windows
Programming experience (SQL, scripting language - Python preferred)
Experience working with relational databases (MS SQL and MySQL preferred)
Strong troubleshooting skills
Experience using Agile/Scrum methodologies
Experience with Solr or Hadoop a bonus
Experience with deployment/configuration automation (Puppet, Chef, etc.) a bonus
Additional Requirements
Strong interpersonal skills
A can-do attitude and sense of urgency for a high growth/fast paced environment
BS in Computer Science or equivalent
Curious mind, wanting to learn new technologies
The ability to think outside of the box to resolve issues and create solutions
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Why Smarsh?
Ready to join a thriving tech company that's redefining digital archiving and business intelligence? Smarsh is the leading comprehensive archiving platform. Recognized as one of today's fastest growing companies in the U.S., Smarsh delivers innovative cloud-based solutions that help organizations manage and enforce flexible and secure records retention and compliance strategies for electronic communications, including social media and enterprise social networks (Yammer, Chatter, Facebook, LinkedIn and more).
We're proud to be one of the 100 Best Companies to Work For in Oregon. Our motto is 'People First. Inspire Confidence. Embrace the Impossible.' We hire lifelong learners who have a passion for their discipline and a track record of excellence. To learn more about us, visit www.smarsh.com/careers.