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Ai Devops Engineer Jobs in Indiana (NOW HIRING)

CMP.jobs

Sr DevOps Engineer

Indianapolis, IN · Remote

$123K - $158K/yr

Sr. DevOps Engineer 100% Remote Position We have built a cloud-based policy administration platform over the past three years and we are looking for an exceptional candidate to join our team and help ...

Wolters Kluwer

Senior DevOps Engineer

Indianapolis, IN · On-site

$124K - $159K/yr

As a Senior DevOps Engin eer , you will be a key technical contributor responsible for designing ... Please note that use of AI-generated responses or third-party support during interviews will be ...

Wolters Kluwer

Senior DevOps Engineer

Indianapolis, IN · On-site

$124K - $159K/yr

As a Senior DevOps Engin eer , you will be a key technical contributor responsible for designing ... Please note that use of AI-generated responses or third-party support during interviews will be ...

Wolters Kluwer

Senior DevOps Engineer

Indianapolis, IN

$124K - $159K/yr

As a Senior DevOps Engin eer , you will be a key technical contributor responsible for designing ... Please note that use of AI-generated responses or third-party support during interviews will be ...

Onebridge

AI Developer

Indianapolis, IN · On-site

They are seeking a highly skilled AI Developer responsible for designing, developing, and deploying ... and operational challenges. • Build, train, test, and deploy models using structured and ...

Allegion

Senior DevOps Engineer

Carmel, IN · On-site

$129K - $166K/yr

The Senior DevOps Engineer collaborates with internal and global teams to support, deploy, secure, and extend our security technology capabilities in a dynamic Agile development environment. You'll ...

Allegion

Senior DevOps Engineer

Carmel, IN · On-site

$129K - $166K/yr

The Senior DevOps Engineer collaborates with internal and global teams to support, deploy, secure, and extend our security technology capabilities in a dynamic Agile development environment. You'll ...

Onebridge

AWS Devops Cloud Engineer

Indianapolis, IN · Hybrid

$50.50 - $69/hr

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across ... Hybrid in Indianapolis, IN (3 days/week onsite) AWS DevOps Cloud Engineer | About You As an AWS ...

Onebridge

AWS Devops Cloud Engineer

Indianapolis, IN · On-site +1

$50.50 - $69/hr

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across ... Hybrid in Indianapolis, IN (3 days/week onsite) AWS DevOps Cloud Engineer | About You As an AWS ...

Onebridge

AWS Devops Cloud Engineer

Indianapolis, IN · On-site

$50.50 - $69/hr

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across ... Hybrid in Indianapolis, IN (3 days/week onsite) AWS DevOps Cloud Engineer | About You As an AWS ...

Agilent

$232K - $362K/yr

Evolve operations from reactive monitoring to predictive, AI-enabled observability , proactively ... DevOps teams. * Harmonize tools, processes, and ways of working across diverse engineering ...

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Showing results 21-40

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.

Sr DevOps Engineer

CMP.jobs

Indianapolis, IN • Remote

$123K - $158K/yr

Full-time

Re-posted 26 days ago

Job description

Sr. DevOps Engineer 100% Remote Position We have built a cloud-based policy administration platform over the past three years and we are looking for an exceptional candidate to join our team and help with our day to day efforts. Responsibilities ● Maintenance and Monitoring of existing cloud infrastructure (GCP + AWS) ● Configuration of new Google Cloud Platform services as needed ● Identify and solve problems related to both performance and security ● Supporting deployment related activities ● Task automation where applicable ● Collaborating with and supporting engineering, quality assurance, marketing, and project management Requirements ● Professional experience with at least one major IaC technology (Terraform preferred) ● Professional experience with Bash or Python ● Professional experience with AWS / Azure / GCP (Google Cloud is preferred) ● Knowledge of containerization technologies such as Docker or Containerd ● Experience supporting stateless applications in a production setting ● Experience with Linux administration (systemd preferred) ● 5+ Years relevant work experience Nice to have ● Centralized logging, metrics, and monitoring experience ● Professional experience with Kubernetes or a managed Kubernetes Service (AKS, EKS, GKE) ● Professional experience with ELK, DataDog, Prometheus, Grafana, etc.. ● Additional programming languages (E.g. Java, Kotlin, Nodejs, Golang, etc..) ● Knowledge of HashiCorp Terraform (better Terraform + Terraform Cloud) ● Experience with Secret management (Google Secret Manager, HashiCorp Vault, etc..) ● Experience with Zero trust or NIST 800-207 standards ● Experience with any security and data privacy standards/regulations

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