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Ai Devops Engineer Jobs in Missouri (NOW HIRING)

Senior DevOps Engineer

California, MO ยท On-site

$169 - $202/hr

Senior DevOps Engineer Overview CoStar Group (CSGP) is a leading global provider of commercial and ... Foundational understanding of AI/ML concepts and practical application as it applies to improving ...

DevOps Engineer

Saint Louis, MO ยท On-site

$120 - $180/hr

## DevOps EngineerApplylocations: USA-St. Louis-795 Office Pkwytime type: Full timeposted on: Posted Todayjob requisition id: R0121182ROLE SUMMARY: We are hiring a DevOps Engineer to own the delivery ...

DevOps Engineer

Saint Louis, MO ยท On-site

$51.25 - $70.25/hr

We are hiring a DevOps Engineer to own the delivery pipeline and operational automation for LSEG's internal observability platform - a high-ownership role with direct impact on how the platform gets ...

Senior DevOps Engineer

Saint Louis, MO ยท On-site

$126K - $162K/yr

As a Senior DevOps Engineer you will help ensure today is safe and tomorrow is smarter. Our work ... AI-powered career tool that identifies career steps and learning opportunities Support: An internal ...

Senior DevOps Engineer

Saint Louis, MO ยท On-site

$126K - $162K/yr

As a Senior DevOps Engineer you will help ensure today is safe and tomorrow is smarter. Our work ... AI-powered career tool that identifies career steps and learning opportunities Support: An internal ...

DevOps Engineer

Saint Louis, MO ยท On-site

$49.50 - $67.75/hr

We are hiring a DevOps Engineer to own the delivery pipeline and operational automation for LSEG's internal observability platform - a high-ownership role with direct impact on how the platform gets ...

DevOps Engineer

Saint Louis, MO ยท Remote

$51.25 - $70.25/hr

We are hiring a DevOps Engineer to own the delivery pipeline and operational automation for LSEG's internal observability platform - a high-ownership role with direct impact on how the platform gets ...

DevOps Engineer

Saint Louis, MO ยท On-site

$96 - $179/hr

This position requires strong expertise in AWS services, secure DevOps practices, and the ability to trace vulnerabilities to their root cause, implement secure fixes, and deploy them safely into ...

DevOps Engineer

Saint Louis, MO ยท On-site

$51.25 - $70.25/hr

Excellent written and oral communication skills 3 years' experience working in a DevOps environment/team 2 years' experience uses Puppet for automation 2 years' experience using Ansible for ...

Senior DevOps Engineer

Saint Louis, MO ยท On-site

$126K - $162K/yr

Overview Senior DevOps Engineer Springfield, VA or St. Louis, MO Active TS (SCI eligibility) clearance and eligibility to obtain a CI poly At Bcore, our strength comes from how we deliver impact to ...

Senior DevOps Engineer

Saint Louis, MO ยท On-site

$126K - $162K/yr

Overview Senior DevOps Engineer Springfield, VA or St. Louis, MO Active TS (SCI eligibility) clearance and eligibility to obtain a CI poly At Bcore, our strength comes from how we deliver impact to ...

Showing results 21-40

Ai Devops Engineer information

See Missouri salary details

$15

$56

$80

How much do ai devops engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for ai devops engineer in Missouri is $56.78, according to ZipRecruiter salary data. Most workers in this role earn between $47.60 and $65.14 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 Missouri?

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

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

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

Infographic showing various Ai Devops Engineer job openings in Missouri as of August 2026, with employment types broken down into 75% Full Time, 21% Part Time, and 4% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $118,102 per year, or $56.8 per hour.

DevOps Engineer Intern

Delta Dental Of Missouri

Saint Louis, MO โ€ข On-site

Full-time

Re-posted 11 days ago


Job description

Kickstart your career as a DevOps Engineer Intern with Delta Dental of Missouri, where you'll gain hands-on experience in Azure cloud environments and modern DevOps practices. In this role, you'll collaborate with experienced engineers to build and improve CI/CD pipelines, support automated testing, and help ensure the reliability and performance of critical applications. You'll also explore cutting-edge AI-powered DevOps tools to enhance automation and drive innovation. This is a great opportunity for a tech-savvy student or recent graduate eager to develop real-world skills in a collaborative, agile environment. If you're curious, detail-oriented, and excited about continuous improvement, we'd love to hear from you.
Position Summary
As a DevOps Engineer Intern at Delta Dental of Missouri (DDMO), you will have the opportunity to work closely with our experienced engineering team to gain hands-on experience in the fields of DevOps and Azure cloud environments. You will play a crucial role in ensuring the quality, reliability, and performance of our software products while also contributing to the continuous improvement of our development and deployment processes.
Essential Functions and Job Responsibilities
โ€ข Collaborate with full stack engineers to design, implement, and maintain automated testing frameworks for both frontend and backend systems.
โ€ข Participate in the development and execution of test plans and test cases to verify the functionality, usability, and performance of our software applications.
โ€ข Assist in the setup and maintenance of continuous integration/continuous deployment (CI/CD) pipelines to automate the build, test, and deployment processes for application and infrastructure.
โ€ข Evaluate and integrate AI-powered DevOps tools to enhance pipeline intelligence, including automated anomaly detection, predictive incident response, and AI-assisted code review or test generation within Azure DevOps workflows.
โ€ข Contribute to the monitoring, troubleshooting, and optimization of our production systems to ensure high availability and reliability.
โ€ข Work with cross-functional teams to identify areas for process improvement and implement best practices for software development, testing, and deployment.
โ€ข Adhere to and support Architecture Review Board (ARB) and Change Advisory Board (CAB) processes, ensuring proposed changes meet established standards prior to implementation.
โ€ข Stay up to date with emerging technologies, tools, and trends in DevOps and Quality Assurance to drive innovation and efficiency within the organization.
โ€ข Develop and maintain design and troubleshooting documentation.
โ€ข Run agile scrum meetings when needed.
Qualifications
โ€ข Currently pursuing a degree or a recent graduate in Computer Science, Engineering, or a related field.
โ€ข Familiarity with software development methodologies such as Agile or Scrum, DevOps methodologies.
โ€ข Basic understanding of programming/scripting languages such as Python, C#, Java, or JavaScript.
โ€ข Knowledge of version control systems (e.g., Git) and issue tracking systems (e.g., Jira).
โ€ข Familiarity with AI/ML operationalization (MLOps) concepts and AI model deployments.
โ€ข Strong analytical and problem-solving skills with attention to detail.
โ€ข Excellent communication and teamwork abilities.
โ€ข Prior experience with DevOps tools (e.g., Jenkins, Docker, Kubernetes) and QA automation frameworks (e.g., Selenium) is a plus.
โ€ข Demonstrated commitment to the company's core values of integrity, adaptability, service-focused, accountability, curiosity, and community.
Work Conditions
General office working conditions which may require sitting for extended periods of time.
Physical Requirements
The physical requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Specific vision abilities require the ability to focus distant and near objects clearly. While performing the duties of this job, the employee is regularly required to sit, talk, and hear. The employee is frequently required to use hands and arms to handle, feel and reach as well as operate a personal computer.
Disclaimer
This job description is designed to provide a general overview of the requirements of the job and does not entail a comprehensive listing of all activities, duties or responsibilities that will be required. The organization reserves the right to modify this job description at any time; including assigning or reassigning job duties.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.