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Ai Devops Engineer Jobs in Indiana (NOW HIRING)

Agilent

$168K - $315K/yr

... , developer productivity, workflow automation, or SDLC automation. * Experience leading teams ... Experience with AI agents, copilots, AI-assisted software engineering tools, ML-driven automation ...

PinnaclePartners

Operations Engineer

Indianapolis, IN · On-site

$60K - $80K/yr

Operations Engineer Location: Onsite - Indianapolis, IN Pay: Up to $85K Direct Hire Pinnacle Partners is assisting our client in their search for an Operations Engineer to join their team in the ...

Deloitte

AI Engineer Consultant

Indianapolis, IN · Hybrid

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

Incorporan.Inc

Devops Architect

Columbus, IN · On-site

$61.50 - $81.25/hr

Company Description • Please look for DevOps profiles with either AWS or Azure background. • Strongly preferred skills : VSTS CI, VSTS CD and VSTS team insights / Git. • We would like to have ...

Incorporan.Inc

Devops Architect

Columbus, IN · On-site

$61.50 - $81.25/hr

Please look for DevOps profiles with either AWS or Azure background. Strongly preferred skills : VSTS CI, VSTS CD and VSTS team insights / Git. We would like to have someone who has experience ...

Toyota

DevOps Team Lead

Indianapolis, IN · On-site

$50 - $68.50/hr

The DevOps Team Lead is a hands-on technical leader responsible for building and shaping DevOps as a core capability within Software Excellence & Enablement (SEE). This role goes beyond operating ...

New

AK Steel

$67K - $91K/yr

The Operations Technology Engineer is responsible for supporting the daily operation of a core unit including technical analysis and some supervision of frontline operators. The Ideal candidates will ...

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All JobsAi Devops Engineer JobsAi Devops Engineer Jobs in Indiana

Ai Devops Engineer information

See Indiana salary details

$15

$57

$82

How much do ai devops engineer jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for ai devops engineer in Indiana is $57.60, according to ZipRecruiter salary data. Most workers in this role earn between $48.27 and $66.11 per hour, depending on experience, location, and employer.

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.

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.

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.

What are popular job titles related to Ai Devops Engineer jobs in Indiana? For Ai Devops Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Ai Devops Engineer jobs in Indiana look for? The top searched job categories for Ai Devops Engineer jobs in Indiana are:
Ai Devops Engineer jobs near you
Infographic showing various Ai Devops Engineer job openings in Indiana as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $119,810 per year, or $57.6 per hour.

Linux Platform Operations Engineer

EXOS (formerly Sondhi Solutions)

Indianapolis, IN

Full-time

Posted 18 days ago

Job description

Position Overview:

We are seeking a Linux and OpenShift Platform Operations Engineer with experience supporting and managing enterprise Linux and OpenShift environments. The ideal candidate will play a critical role in maintaining system stability, automating operational tasks, and ensuring high availability for mission critical workloads.

This position requires in depth technical expertise, strong teamwork, and a proactive approach to problem solving and operational excellence. The engineer will use modern AI driven automation tools such as Claude Code, Codex, or similar solutions to improve efficiency and streamline engineering workflows.

This role will support public and private cloud Infrastructure as a Service environments. The team is focused on improving infrastructure availability and reliability through repeatable patterns, modern architecture, stronger observability, and automation that helps prevent outages and increase value across the organization. The role will partner with global operations subject matter experts and platform infrastructure operations teams to deliver daily operations for this area.

Responsibilities:

upport and manage Red Hat Enterprise Linux, Ubuntu, and SUSE Linux Enterprise Server environments.

* Administer OpenShift, Kubernetes, and containerized platform environments.

* Manage Linux based virtual machines, VMware vSphere environments, and physical server infrastructure across HP, Dell, and IBM platforms.

* Configure and maintain Linux network services, including Domain Name System, Dynamic Host Configuration Protocol, Virtual Local Area Networks, firewalls, and Transmission Control Protocol and Internet Protocol services.

* Develop and manage Ansible playbooks for system configuration, deployment, and operational automation.

* Write Bash and Python scripts to support system management, automation, and operational efficiency.

* Use Ansible Tower or AWX for centralized automation management.

* Apply AI enabled automation tools such as Claude Code, Codex, or similar solutions to improve scripting efficiency, accelerate development, and streamline operational workflows.

* Follow Information Technology Infrastructure Library based incident, problem, and change management processes using ServiceNow.

* Perform incident resolution and root cause analysis for critical server issues.

* Support change management processes while helping minimize production impact.

* Deliver technical leadership for enterprise infrastructure solutions and support deployment across multiple global locations.

* Strengthen infrastructure availability, resiliency, and observability at enterprise scale.

* Contribute to AI operations, event driven automation, infrastructure automation, and cloud Infrastructure as Code initiatives


Qualifications:

Bachelor's degree in Computer Science, Information Technology, or a related technical field.

* Five or more years of experience as a Linux Operating System or Platform Engineer.

* Experience with cloud Infrastructure as a Service platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform, including architecture, deployment, and ongoing support.

* Experience supporting Red Hat Enterprise Linux, Ubuntu, or SUSE Linux Enterprise Server.

* Experience with OpenShift, Kubernetes, and containerized solutions.

* Experience with automation, scripting, and infrastructure operations in enterprise environments.

* Demonstrated experience with or exposure to AI enabled automation tools such as Claude Code, Codex, or similar solutions, with the ability to apply these tools in engineering or operational contexts.

* Experience leading or supporting large scale global infrastructure projects.

* Strong troubleshooting skills and hands on Linux system administration experience.

* Consistent record of high quality, agile focused, team based solution delivery.