ZipRecruiter

Log In

1

Ai Devops Engineer Jobs in Ohio (NOW HIRING)

Incedo Inc

Devops Engineer

Cincinnati, OH · 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 ...

Booz Allen Hamilton

DevOps Engineer

Dayton, OH · 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 ...

Booz Allen Hamilton, Inc.

DevOps Engineer

Dayton, OH · 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 ...

Booz Allen Hamilton, Inc.

DevOps Engineer

Dayton, OH · 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 ...

Booz Allen Hamilton

DevOps Engineer

Dayton, OH

$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 ...

Booz Allen Hamilton, Inc.

DevOps Engineer

Dayton, OH · 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 ...

Booz Allen Hamilton

DevOps Engineer

Dayton, OH · 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 ...

Booz Allen Hamilton

DevOps Engineer

Dayton, OH · 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 ...

Booz Allen Hamilton

DevOps Engineer

Dayton, OH · On-site

$77K - $176K/yr

R0246926 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 ...

Booz Allen Hamilton

DevOps Engineer

Dayton, OH · 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 ...

Booz Allen Hamilton, Inc.

DevOps Engineer

Dayton, OH · 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 ...

Booz Allen Hamilton, Inc.

DevOps Engineer

Dayton, OH · 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 ...

Booz Allen Hamilton, Inc.

DevOps Engineer

Dayton, OH · 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 ...

Booz Allen Hamilton, Inc.

DevOps Engineer

Dayton, OH · 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 ...

next page

Showing results 1-20

All JobsAi Devops Engineer JobsAi Devops Engineer Jobs in Ohio

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:

Ai Devops Engineer jobs near you
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.

Devops Engineer

Incedo Inc

Cincinnati, OH • On-site

$50.75 - $69.50/hr

Other

Posted 4 days ago

Job description

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 operation of software engineering platforms, DevOps capabilities, and automation solutions that improve delivery velocity, operational efficiency, and system reliability.

The ideal candidate possesses hands-on experience with AI-assisted development tools such as Claude Code CLI, GitHub Copilot, Cursor, Cline, Aider, or similar platforms, and has experience building agentic engineering harnesses that automate software development lifecycle activities. Experience applying AI agents to software development, testing, deployment, incident management, vulnerability remediation, and production support is highly desirable.

Candidates should have experience operating within large banking, financial services, payments, or similarly regulated environments and demonstrate a strong understanding of software engineering governance, security, compliance, risk management, and audit requirements. The primary objective of this role is to implement secure, compliant, and scalable automation that accelerates software delivery, improves operational resiliency, and enables AI-assisted issue identification and resolution while maintaining appropriate human oversight.

Key Responsibilities
  • Design, develop, implement, and maintain software engineering, DevOps, and automation platforms.
  • Build and support agentic engineering harnesses that automate software development lifecycle activities, including development, testing, deployment, and operational support.
  • Develop AI-enabled workflows that improve engineering productivity, software quality, and operational efficiency.
  • Design, implement, and maintain CI/CD pipelines, environment provisioning, and infrastructure automation capabilities.
  • Automate operational processes, incident management workflows, vulnerability remediation, and production support functions.
  • Develop solutions that assist with issue triage, root cause analysis, and production problem resolution.
  • Integrate engineering platforms with source control, ticketing, monitoring, observability, and operational systems.
  • Configure, maintain, monitor, and optimize application and platform performance.
  • Ensure solutions comply with enterprise security, compliance, governance, and risk management requirements.
  • Implement human-in-the-loop controls for AI-assisted development and operational processes.
  • Promote adoption of modern engineering practices, automation frameworks, cloud technologies, and AI-enabled development capabilities.
Required Qualifications
  • Experience designing and implementing CI/CD pipelines, infrastructure automation, and cloud-native solutions.
  • Hands-on experience with AI-assisted development tools such as Claude Code CLI, GitHub Copilot, Cursor, Cline, Aider, or similar technologies.
  • Experience building agentic workflows, AI orchestration frameworks, engineering automation platforms, or software development harnesses.
  • Strong understanding of software development lifecycle processes, testing practices, deployment methodologies, and production support.
  • Experience integrating development platforms with tools such as GitHub, GitLab, Azure DevOps, Jira, ServiceNow, Datadog, Splunk, or equivalent systems.
  • Strong programming, scripting, and automation skills.
Preferred Qualifications
  • Experience within banking, payments, financial services, fintech, or other highly regulated industries.
  • Knowledge of enterprise software governance, security, compliance, audit, and risk management practices.
  • Experience with Large Language Models (LLMs), Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), agent-based architectures, and AI orchestration frameworks.
  • Experience implementing AI governance, Responsible AI, or Model Risk Management controls.
  • Experience automating incident response, production support, operational workflows, and vulnerability management.

Apply