ZipRecruiter

Log In

1

Ai Devops Engineer Jobs (NOW HIRING)

Alignity Solutions

AI DevOps Engineer

Manhattan, NY · On-site

$58.25 - $79.75/hr

This role sitsat the intersection of DevOps, Platform Engineering, Site ReliabilityEngineering (SRE), and AI Infrastructure , enabling high-performance AIsystems, agent-based workflows, and ...

Uw

AI DevOps Engineer

Seattle, WA · On-site

The AI DevOps Engineer role will work within Service Management and AI Platform team under the UW's IT infrastructure Umbrella that provides critical technology support to all three campuses, UW ...

Far Coder

$39 - $53.25/hr

Zscaler is hiring a remote candidate for AI DevOps Engineer. This is a full time position. Work location: USA. The role typically involves technologies such as Kubernetes, Terraform, CI/CD, Rails ...

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 ...

Vrtx

Senior AI DevOps Engineer

Boston, MA · Hybrid

$141K - $181K/yr

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

Marlabs LLC

Sr. AI DevOps Developer

Plano, TX · On-site

... s Engineer to design, develop, deploy, and support enterprise AI agents and Generative AI solutions for clients, primarily in the consumer electronics and retail industries. This role combines hands ...

Zoom

$186K/yr

What you can expect As a Zoom AI DevOps Engineer, you can expect to work on high-impact, large-scale systems that support ZoomAI and Machine Learning services. You'll be part of a fast-moving ...

Deloitte

DevOps Engineer III

Miami, FL · On-site

$50.50 - $69/hr

AI & Engineering/EaaS - DevOps Engineer III Build and scale modern DevOps capabilities that help clients accelerate delivery, improve reliability, and modernize engineering operations. As a Senior ...

Deloitte

DevOps Engineer III

Pittsburgh, PA · On-site

$51.25 - $70.25/hr

AI & Engineering/EaaS - DevOps Engineer III Build and scale modern DevOps capabilities that help clients accelerate delivery, improve reliability, and modernize engineering operations. As a Senior ...

Deloitte

DevOps Engineer III

Dallas, TX · On-site

$52.25 - $71.50/hr

AI & Engineering/EaaS - DevOps Engineer III Build and scale modern DevOps capabilities that help clients accelerate delivery, improve reliability, and modernize engineering operations. As a Senior ...

Deloitte

DevOps Engineer III

Austin, TX · On-site

$52.25 - $71.50/hr

AI & Engineering/EaaS - DevOps Engineer III Build and scale modern DevOps capabilities that help clients accelerate delivery, improve reliability, and modernize engineering operations. As a Senior ...

Deloitte

DevOps Engineer III

Houston, TX · On-site

$50.25 - $69/hr

AI & Engineering/EaaS - DevOps Engineer III Build and scale modern DevOps capabilities that help clients accelerate delivery, improve reliability, and modernize engineering operations. As a Senior ...

Deloitte

DevOps Engineer III

Hartford, CT

$53.25 - $73/hr

AI & Engineering/EaaS - DevOps Engineer III Build and scale modern DevOps capabilities that help clients accelerate delivery, improve reliability, and modernize engineering operations. As a Senior ...

Deloitte

DevOps Engineer III

Nashville, TN · On-site

$51 - $69.75/hr

AI & Engineering/EaaS - DevOps Engineer III Build and scale modern DevOps capabilities that help clients accelerate delivery, improve reliability, and modernize engineering operations. As a Senior ...

Deloitte

DevOps Engineer III

Tempe, AZ · On-site

$50.50 - $69.25/hr

AI & Engineering/EaaS - DevOps Engineer III Build and scale modern DevOps capabilities that help clients accelerate delivery, improve reliability, and modernize engineering operations. As a Senior ...

next page

Showing results 1-20

All JobsAi Devops Engineer Jobs

Ai Devops Engineer information

See salary details

$16

$60

$86

How much do ai devops engineer jobs pay per hour?

As of Sep 15, 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.
More about Ai Devops Engineer jobs

What cities are hiring for Ai Devops Engineer jobs?

Cities with the most Ai Devops Engineer job openings:

What states have the most Ai Devops Engineer jobs?

States with the most job openings for Ai Devops Engineer jobs include:

What are popular job titles related to Ai Devops Engineer jobs?

For Ai Devops Engineer jobs, the most frequently searched job titles are:

Ai Devops Engineer jobs near you
Infographic showing various Ai Devops Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 62% Physical, 4% Hybrid, and 34% Remote job distribution, with an average salary of $125,908 per year, or $60.5 per hour.

AI DevOps Engineer

Manhattan, NY • On-site

Alignity Solutions
IT Services • 11 - 50 employees
Learn more about Alignity Solutionsexternal

$58.25 - $79.75/hr

Other

Posted 5 days ago

Job description

Do you love a career where you Experience , Grow & Contribute at the same time, while earning at least 10% above the market? If so, we are excited to have bumped onto you.

Learn how we are redefining the meaning of work , and be a part of the team raved by Clients, Job-seekers and Employees.

If you are a Field Service Engineer looking for excitement, challenge and stability in your work, then you would be glad to come across this page.

We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long-term project. Here are a few details.

Check if you are up for maximizing your earning/growth potential, leveraging our Disruptive Talent Solution.

Location: NewYork, NY

Type: Contract

Requirements

About theRole

Our client is seekinga highly skilled AI DevOps Engineer to design, build, and operatescalable, secure, and production-grade infrastructure supporting modern AIplatforms and LLM-powered applications.

This role sitsat the intersection of DevOps, Platform Engineering, Site ReliabilityEngineering (SRE), and AI Infrastructure, enabling high-performance AIsystems, agent-based workflows, and enterprise AI platforms within a regulatedfinancial services environment.

The idealcandidate will have strong expertise in Kubernetes, Terraform, cloudinfrastructure, automation, and AI platform operations, along withexperience supporting modern AI/LLM workloads in production environments.

KeyResponsibilities

  • Design, deploy, and manage scalable infrastructurefor AI and LLM-based applications in production environments.
  • Build and maintain Infrastructure-as-Code (IaC)using tools such as Terraform for secure, repeatable, and auditabledeployments.
  • Deploy, manage, and scale containerizedenvironments using Kubernetes with a focus on high availability andreliability.
  • Implement DevOps, Platform Engineering, and SREbest practices to improve system reliability, scalability, and operationalefficiency.
  • Support AI platform services for model serving,inference, experimentation, and evaluation workflows.
  • Deploy and maintain infrastructure supporting AIagents, orchestration frameworks, and LLM runtime dependencies.
  • Design and manage vector database infrastructureincluding Pinecone, Weaviate, or PostgreSQL with pgvector for RAG andsemantic search use cases.
  • Enable AI developer platforms and tooling forengineering teams building AI-powered applications.
  • Implement monitoring, alerting, logging, andincident response processes for mission-critical AI systems.
  • Collaborate with security, compliance, andgovernance teams to ensure adherence to regulatory and enterprise securitystandards.
  • Continuously improve automation, developerexperience, and operational processes for AI infrastructure environments.

RequiredQualifications

  • Bachelor’s degree in Computer Science, Engineering,or equivalent practical experience.
  • Proven experience as a DevOps Engineer, PlatformEngineer, or Site Reliability Engineer (SRE).
  • Strong hands‑on experience managing large-scaleproduction infrastructure.
  • Expertise with Terraform and Infrastructure-as-Code(IaC) methodologies.
  • Strong experience deploying and operatingKubernetes-based environments.
  • Experience supporting infrastructure for AIplatforms or LLM-based applications.
  • Strong understanding of automation, scalability,reliability, and cloud-native architectures.

PreferredQualifications

  • Experience supporting production-grade LLMapplications and AI agent workloads.
  • Hands-on experience with vector databases such asPinecone, Weaviate, or pgvector.
  • Experience building or supporting AI tooling andinternal AI developer platforms.
  • Knowledge of observability, monitoring, capacityplanning, and reliability engineering for AI/ML systems.
  • Experience working within financial services orother highly regulated industries.
  • Strong communication and cross-functionalcollaboration skills.
#J-18808-Ljbffr

Apply