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Ai Devops Engineer Jobs in Ohio (NOW HIRING)

Role Description Programming * DevOps * Automation & AI * Advanced PowerShell automation and scripting frameworks * C# /.NET application and platform development Source Control & Engineering ...

Devops Engineer

Cincinnati, OH · On-site

$140K - $150K/yr

Role:- Devops Engineer Location:- Cincinnati, OH(Onsite) Job type:- Fulltime Salary:-$140k-$150k ... Semantic Kernel Azure AI Foundry Comparable enterprise AI orchestration frameworks Experience ...

We are seeking a highly skilled and experienced Principal Software Engineer focused on Agentic AI and DevOps. The ideal candidate will architect and deliver agentic microservices and platform ...

DevOps Engineer

Kings Mills, OH · Hybrid

$49.50 - $67.75/hr

DevOps Engineer We're looking for a hands-on DevOps Engineer who builds and ships. This is not a ... AI is part of your daily toolkit. We're not looking for someone who is merely "interested in" AI ...

Principal DevOps Engineer

Dublin, OH · On-site

$51 - $69.75/hr

The DevOps Engineer Lead turns deployment and infrastructure from siloed knowledge into ... Experience implementing test automation and AI-assisted tooling to improve deployment quality ...

Principal DevOps Engineer

Dublin, OH · On-site

$51 - $69.75/hr

The DevOps Engineer Lead turns deployment and infrastructure from siloed knowledge into ... Experience supporting or deploying 12-Factor applications, internal developer platforms, or AI ...

Principal DevOps Engineer

Dublin, OH · On-site

$49.75 - $68.25/hr

The DevOps Engineer Lead turns deployment and infrastructure from siloed knowledge into ... Experience implementing test automation and AI-assisted tooling to improve deployment quality ...

Principal DevOps Engineer

Dublin, OH

$51 - $69.75/hr

The DevOps Engineer Lead turns deployment and infrastructure from siloed knowledge into ... Experience implementing test automation and AI-assisted tooling to improve deployment quality ...

DevOps Engineer

Cincinnati, OH · On-site

$140K - $150K/yr

Must Have Technical/Functional Skills ProgrammingDevOps • Automation & AI • Advanced PowerShell automation and scripting frameworks • C# / .NET application and platform development Source ...

We are looking for a DevOps Engineer to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each ...

Agentic DevOps Engineer

Columbus, OH · On-site

$70.35K - $205.80K/yr

We Are The beginning of a new Data & AI decade that will reshape work and society has begun ... The Work We are seeking a highly motivated Agentic DevOps Engineer to support our Agentic DevOps ...

Junior DevOps Engineer

Cincinnati, OH · On-site

$51.50 - $70.50/hr

... AI-assisted tooling (e.g., Copilot) to improve delivery speed and consistency • Contribute to reusable templates, modules, and standardized DevOps patterns • Reduce manual effort through ...

New

Agentic DevOps Engineer

Saint Bernard, OH · On-site

$70.35K - $205.80K/yr

We Are The beginning of a new Data & AI decade that will reshape work and society has begun ... The Work We are seeking a highly motivated Agentic DevOps Engineer to support our Agentic DevOps ...

Agentic DevOps Engineer

Cleveland, OH · On-site

$70.35K - $205.80K/yr

We Are The beginning of a new Data & AI decade that will reshape work and society has begun ... The Work We are seeking a highly motivated Agentic DevOps Engineer to support our Agentic DevOps ...

DevOps Engineer

Dayton, OH

$61.90K - $141K/yr

R0237138 DevOps Engineer The Opportunity: Are you looking for an opportunity to leverage your ... 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 May 28, 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 are the key skills and qualifications needed to thrive as an AI DevOps Engineer, and why are they important?

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 are AI DevOps Engineers?

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 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.

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 May 2026, with employment types broken down into 26% Full Time, 68% Part Time, and 6% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $119,701 per year, or $57.5 per hour.
DevOps Engineer

DevOps Engineer

Diverse Lynx

Cincinnati, OH • On-site

$150K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

DevOps Engineer

Location – Cincinnati, OH (Onsite) Job Type: Fulltime Salary: $150K Per Annum + Benefits.

Role Description

Programming

  • DevOps
  • Automation & AI
  • Advanced PowerShell automation and scripting frameworks
  • C# /.NET application and platform development

Source Control & Engineering Practices

  • Git-based development workflows
  • Branching strategies and pull request processes
  • Code review and engineering quality practices
  • Modern DevOps development methodologies

Artificial Intelligence Engineering Experience

  • Hands-on experience integrating AI capabilities into development workflows working with:
    • Semantic Kernel
    • Azure AI Foundry
    • Comparable enterprise AI orchestration frameworks

Experience working with modern LLM ecosystems such as:

  • Anthropic Claude models
  • Gemini models
  • Microsoft Copilot models

AI Development Practices:

  • Prompt engineering
  • AI-assisted development workflows
  • Codex-driven development
  • AI agent orchestration
Roles & Responsibilities

Automation Platform Development (Lite-Touch) Design and build a Lite-Touch Automation Platform that enables scalable workstation provisioning and configuration management.

Responsibilities include:

  • Architect and develop an enterprise automation framework enabling deterministic workstation configuration deployment
  • Implement modular automation workflows supporting policy-driven configuration management
  • Ensure 100% repeatable configuration outcomes
  • Enable input-driven configuration provisioning using structured configuration inputs
  • Integrate automation capabilities with enterprise request and service management platforms
  • Implement logging, traceability, and auditability across automation workflows
  • Manage configuration artifacts using version-controlled configuration management practices
  • Eliminate configuration drift and manual build inconsistencies through automated enforcement

Configuration Quality Verification Platform Design and develop a Configuration Quality Verification Platform that validates workstation configurations against requested standards and enterprise quality policies.

Responsibilities include:

  • Build automated verification workflows validating workstation configuration states
  • Implement compliance validation aligned with enterprise quality standards
  • Detect configuration drift and unauthorized configuration changes
  • Verify alignment between requested and deployed configurations
  • Generate automated reports and audit artifacts for regulatory compliance
  • Enable engineering teams to perform automated quality assurance for workstation environments

Diverse Lynx logo

About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

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