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Ai Devops Engineer Jobs (NOW HIRING)

NICE

AI DevOps Engineer

Sandy, UT

$50.25 - $68.75/hr

AI DevOps Engineer - Cloud AI Platforms At NICE, we are not just building software-we are transforming how cloud operations are run using AI. We are building intelligent platforms that can understand ...

OVA.Work

AI DevOps Engineer

$54 - $74/hr

Work is seeking an AI DevOps Engineer to build, automate, and manage infrastructure and deployment pipelines that support AI and machine learning applications. This role bridges DevOps, MLOps, and ...

Capco

AI DevOps Engineer (AWS)

Orlando, FL

$49.25 - $67.50/hr

AI DevOps Engineer (AWS) Location: Orlando, FL (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent, Full-Time Build the cloud platforms powering the next generation of AI innovation.

Aptino

AI /DevOps Engineer

Cincinnati, OH · 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 ...

Zscaler

AI DevOps Engineer

$54 - $74/hr

Role We are looking for an AI DevOps Engineer to join our team. This is a Remote within the United States (with a hybrid preference for San Jose, CA) role, reporting to the Manager, IT Cloud ...

Zscaler

AI DevOps Engineer

$54 - $74/hr

Role We are looking for an AI DevOps Engineer to join our team. This is a Remote within the United States (with a hybrid preference for San Jose, CA) role, reporting to the Manager, IT Cloud ...

Stellantis

AI DevOps Engineer

Auburn Hills, MI · On-site

$50 - $68.50/hr

Key Responsibilities: * DevOps Platform Leadership: * Lead the design, implementation, and continuous improvement of DevOps platforms to enable high-performing development teams. * Architect scalable ...

Vrtx

Senior AI DevOps Engineer

Boston, MA · Hybrid

$95K - $142K/yr

Microsoft Azure certifications (Azure Solutions Architect, Azure Security Engineer, Azure DevOps Engineer, or equivalent) strongly preferred. * Experience with Microsoft Foundry, Azure AI Services ...

Vertex Pharmaceuticals

Senior AI DevOps Engineer

Boston, MA · On-site

$95K - $142K/yr

Microsoft Azure certifications (Azure Solutions Architect, Azure Security Engineer, Azure DevOps Engineer, or equivalent) strongly preferred. * Experience with Microsoft Foundry, Azure AI Services ...

Allegis Group

DevOps Engineer

Hanover, MD · On-site

$52 - $71.25/hr

Implement AI-enabled operational capabilities focused on incident visibility, monitoring, alert correlation, workflow automation, operational analytics, engineering efficiency, and AI-assisted ...

Allegis Group

DevOps Engineer

Hanover, MD

$52 - $71.25/hr

Implement AI-enabled operational capabilities focused on incident visibility, monitoring, alert correlation, workflow automation, operational analytics, engineering efficiency, and AI-assisted ...

Copart, Inc.

DevOps Engineer

Dallas, TX · On-site

$52.25 - $71.50/hr

Position Overview We are seeking a highly skilled Mid-Level to Senior DevOps Engineer with hands-on ... AI / MLOps / AIOps * Deploy, manage, and optimize AI/ML workloads in production environments.

Roku

Senior AI DevOps Engineer

Austin, TX · Remote

$128K - $165K/yr

AI-first problem solving where your instinct is to automate with AI before adding manual process or headcount * Obsession with developer experience.You measure your success by how fast and reliably ...

Roku

Senior AI DevOps Engineer

Austin, TX · On-site

$128K - $165K/yr

AI-first problem solving where your instinct is to automate with AI before adding manual process or headcount * Obsession with developer experience.You measure your success by how fast and reliably ...

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Ai Devops Engineer information

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How much do ai devops engineer jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for ai devops engineer in the United States is $60.53, according to ZipRecruiter salary data. Most workers in this role earn between $50.72 and $69.47 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.
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Ai Devops Engineer jobs near you
Infographic showing various Ai Devops Engineer job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $125,908 per year, or $60.5 per hour.

AI DevOps Engineer

Sandy, UT

NICE
See more jobs at NICEexternal

$50.25 - $68.75/hr

Full-time

Posted 21 days ago

Job description

AI DevOps Engineer - Cloud AI Platforms

At NICE, we are not just building software-we are transforming how cloud operations are run using AI. We are building intelligent platforms that can understand system behavior, make decisions, and automate real-world operational workflows at scale. If you're excited about applying AI beyond chatbots into real production systems, this is an opportunity to work on meaningful, high-impact problems.

 

What's the role all about?

As an AI DevOps Engineer, you will be part of a team building AI-powered operational platforms that integrate across monitoring systems, CI/CD pipelines, ticketing tools, and cloud infrastructure. You will work on designing and implementing intelligent workflows, integrating AI models, and building scalable systems that automate complex operational tasks.

This is a highly hands-on role focused on building, integrating, and scaling AI-driven solutions in production environments.

 
 

How will you make an impact?

 Build and scale AI-driven workflows and automation systems
 Develop integrations with systems like monitoring platforms, ticketing tools, CI/CD pipelines, and cloud services
 Design and implement APIs, tools, and data pipelines that power AI-driven decision-making
 Work on LLM integrations, Model training, PII redaction solutions,promptengineering, and orchestration layers
 Translate real-world operational problems into automated, intelligent solutions
 Collaborate with Product, SRE, and Infrastructure teams to deliver end-to-end capabilities
 Improve system performance, reliability, and observability
 
 

Key Responsibilities

 Design and develop scalable backend systems for AI-powered platforms
 Build and maintain AI integrations, workflows, and automation pipelines
 Implement REST APIs, microservices, and event-driven architectures
 Work with both structured and unstructured data for AI use cases
 Contribute to CI/CD pipelines, testing, and deployment automation
 Troubleshoot and optimize production systems
 Collaborate with cross-functional teams to deliver high-quality solutions
 Contribute to reusable frameworks and engineering best practices
 
 

What we're looking for

 Strong experience in backend development (Typscript, C#, .NET, Python, RUST or similar)
 Experience building scalable, distributed systems in cloud environments
 Familiarity with APIs, microservices, and event-driven systems
 Exposure to AI/ML concepts, LLMs, or AI SDKs (hands-on preferred)
 Experience with AWS / Azure / GCP
 Working knowledge of CI/CD, Docker, Kubernetes
 Strong problem-solving and analytical skills
 Ability to work in a fast-paced, evolving environment
 
 

Nice to have

 Experience with LLM frameworks or prompt engineering
 Knowledge of observability tools (Grafana, Prometheus, etc.)
 Experience building automation or internal platforms
 Frontend exposure (React, JavaScript)

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