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Ai Devops Engineer Jobs in Ohio (NOW HIRING)

AI /DevOps Engineer

Cincinnati, OH ยท On-site

$50.75 - $69.50/hr

AI / DevOps Engineer Location: Cincinnati, OH (Onsite) Duration: 12 Months Role Overview: We are looking for an experienced Azure DevOps & Platform Operations Engineer to manage and support cloud ...

New

Devops Engineer

Cincinnati, OH ยท On-site

$50.75 - $69.50/hr

Title- Senior DevOps Engineer AI & Agentic Software Engineering Location- Cincinnati, OH(Day 1 onsite) Position Summary The DevOps Engineer is responsible for the design, implementation, and ...

DevOps Engineer

Dayton, OH ยท On-site

$77K - $176K/yr

DevOps Engineer The Opportunity: Everyone is trying to "harness the cloud," but not everyone knows ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

DevOps Engineer

Dayton, OH ยท On-site

$77K - $176K/yr

DevOps Engineer The Opportunity: Everyone is trying to "harness the cloud," but not everyone knows ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

DevOps Engineer The Opportunity: Everyone is trying to "harness the cloud," but not everyone knows ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

DevOps Engineer

Dayton, OH ยท On-site +1

$77K - $176K/yr

Share DevOps Engineer The Opportunity: Everyone is trying to "harness the cloud," but not everyone ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

DevOps Engineer

Dayton, OH ยท On-site +1

$77K - $176K/yr

Share DevOps Engineer The Opportunity: Everyone is trying to "harness the cloud," but not everyone ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

DevOps Engineer

Dayton, OH ยท On-site

$77K - $176K/yr

R0246718 DevOps Engineer The Opportunity: Everyone is trying to "harness the cloud," but not ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

DevOps Engineer

Dayton, OH ยท On-site

$77K - $176K/yr

R0244518 DevOps Engineer The Opportunity: Everyone is trying to "harness the cloud," but not ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

DevOps Engineer

Dayton, OH ยท On-site

$77K - $176K/yr

DevOps Engineer The Opportunity: Everyone is trying to "harness the cloud," but not everyone knows ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

DevOps Engineer

Dayton, OH ยท On-site

$77K - $176K/yr

DevOps Engineer The Opportunity: Everyone is trying to "harness the cloud," but not everyone knows ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

DevOps Engineer

Dayton, OH ยท On-site

$77K - $176K/yr

DevOps Engineer The Opportunity: Everyone is trying to "harness the cloud," but not everyone knows ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

DevOps Engineer

Dayton, OH ยท On-site +1

$61K - $141K/yr

Share DevOps Engineer The Opportunity: As a DevOps engineer, you know how to set up cloud ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

DevOps Engineer

Dayton, OH ยท On-site

$61K - $141K/yr

R0246720 DevOps Engineer The Opportunity: As a DevOps engineer, you know how to set up cloud ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

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Showing results 1-20

Ai Devops Engineer information

See Ohio salary details

$15

$57

$82

How much do ai devops engineer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for ai devops engineer in Ohio is $57.55, according to ZipRecruiter salary data. Most workers in this role earn between $48.22 and $66.06 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 Ohio?

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

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

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

Infographic showing various Ai Devops Engineer job openings in Ohio as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $119,701 per year, or $57.5 per hour.

AI /DevOps Engineer

Aptino

Cincinnati, OH โ€ข On-site

$50.75 - $69.50/hr

Other

Posted 2 days ago

New


Job description

Role Name: AI / DevOps Engineer
Location: Cincinnati, OH (Onsite)
Duration: 12 Months

Role Overview:
We are looking for an experienced Azure DevOps & Platform Operations Engineer to manage and support cloud applications, data platforms, and integration services running on Microsoft Azure. The candidate will focus on platform reliability, monitoring, production support, incident troubleshooting, and continuous improvement.

Key Responsibilities:
  • Monitor Azure applications, infrastructure, APIs, and data platforms for availability, performance, and reliability.
  • Work with Azure Storage, Azure SQL, App Services, Azure Functions, Key Vault, and AKS for operational support and administration.
  • Monitor observability dashboards, alerts, application latency, endpoints, dependencies, and service health metrics.
  • Support Kubernetes/AKS environments by troubleshooting pod failures, deployments, resource issues, and container workloads.
  • Perform operational recovery activities such as restarting pods/services and restoring application availability.
  • Monitor and troubleshoot Azure DevOps CI/CD pipelines, deployments, service connections, agent pools, and release processes.
  • Support code/configuration movement across development, testing, and production environments.
  • Monitor data ingestion and integration workflows, validate source files, troubleshoot ETL/data movement failures, and perform data validation.
  • Handle production incidents, perform triage, coordinate resolution, and work within defined SLAs.
  • Conduct Root Cause Analysis (RCA) and develop/track Corrective Action Plans (CAPs) for recurring or critical issues.
  • Support change management, deployment validation, problem management, and production releases.
  • Identify opportunities for automation, alert optimization, monitoring improvements, and operational efficiency.
  • Develop and maintain runbooks, SOPs, support documentation, and knowledge articles.
  • Collaborate with application, infrastructure, data, and DevOps teams to improve platform stability and reliability.
Required Skills:
  • Strong hands-on experience with Microsoft Azure and Azure DevOps.
  • Experience with AKS/Kubernetes and containerized applications.
  • Knowledge of CI/CD pipelines, deployment processes, and production operations.
  • Experience with Azure monitoring/observability tools and alert management.
  • Strong troubleshooting skills across applications, infrastructure, APIs, and data pipelines.
  • Experience with ETL/data integration workflows and data validation.
  • Strong understanding of Incident, Problem, Change Management, RCA, and CAP processes.
  • Excellent communication and ability to work effectively in an onsite production-support environment.