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Devops Ai Jobs (NOW HIRING)

DevOps Engineer

Lemont, IL · On-site

$53.25 - $72.75/hr

The AmSC platform enables DOE scientists to create, access, and integrate AI-ready datasets, run ... As a DevOps Engineer, you will work within the Data Services and Workflows team at ALCF, with ...

Operations AI Intern

Morgantown, PA · On-site

$14.75 - $19.50/hr

You will work closely with engineering, operations, and quality teams to prototype AI solutions, analyze data, and help streamline processes. This is a hands‑on role with exposure to a wide variety ...

DevOps Engineer

Lemont, IL · Hybrid

$53.25 - $72.75/hr

The AmSC platform enables DOE scientists to create, access, and integrate AI-ready datasets, run ... As a DevOps Engineer, you will work within the Data Services and Workflows team at ALCF, with ...

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 ...

AI DevOps Engineer

Atlanta, GA · On-site

$50.75 - $69.50/hr

Only W2 (USC) Seeking a Senior AI DevOps Engineer with 10+ years of experience to design, deploy, and optimize enterprise AI platforms and cloud infrastructure. The role focuses on cloud architecture ...

Senior DevOps Architect

Dallas, TX · On-site

$65.50 - $86.25/hr

Senior DevOps Architect At o9, we invest in people. We seek talented, driven individuals to power ... AI-Powered Workloads: Formulate structural guardrails for infrastructure supporting complex AI/ML ...

Senior DevOps Architect

Dallas, TX · On-site

$65.50 - $86.25/hr

Senior DevOps Architect At o9, we invest in people. We seek talented, driven individuals to power ... AI-Powered Workloads: Formulate structural guardrails for infrastructure supporting complex AI/ML ...

AI Devops Engineer

Atlanta, GA · On-site

$50.75 - $69.50/hr

AI Devops Engineer Location: Atlanta, GA 5 Month Contract Only W2 3 days hybrid onsite in Atlanta Top Skills'' Details Cloud Architecture & Automation: 10+ years of experience designing and deploying ...

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 ...

New

DevOps Engineer

Austin, TX · On-site +1

$150K - $250K/yr

DevOps Engineer (AI-Native, Builder Mindset) Location: Remote Company: Driver AI Type: Full-time Introduction At Driver, we're building systems that turn source code into human language. The tech ...

DevOps Engineer

Austin, TX · Remote

$52.25 - $71.50/hr

DevOps Engineer (AI-Native, Builder Mindset) Location: Remote Company: Driver AI Type: Full-time Introduction At Driver, we're building systems that turn source code into human language. The tech ...

Sr. Microsoft Security Engineer

Phoenix, AZ · On-site

$113K - $155K/yr

Responsibilities : • Lead the design, implementation, and management of security measures for enterprise AI systems. • Collaborate with cross-functional teams, including IT, DevOps, AI Council ...

AI DevOps Engineer

Sandy, UT · On-site

$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 ...

New

AI DevOps Engineer (AWS)

Orlando, FL · On-site

$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.

Showing results 21-40

Devops Ai information

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$16

$60

$86

How much do devops ai jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for devops ai 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 the difference between Devops Ai vs Data Engineer?

AspectDevops AiData Engineer
Required CredentialsCertifications in DevOps tools, AI/ML fundamentals, cloud platformsData management certifications, SQL, Python, cloud certifications
Work EnvironmentCollaborates with development, operations, and AI teams in cloud or on-premise setupsWorks with data pipelines, databases, and analytics teams in data-centric environments
Employer & Industry UsageTech companies, AI startups, cloud service providersFinance, healthcare, e-commerce, and data-driven industries

Devops Ai professionals focus on integrating AI solutions into deployment pipelines, combining DevOps practices with AI/ML tools. Data Engineers primarily build and maintain data infrastructure for analytics and machine learning. While both roles require cloud and scripting skills, Devops Ai emphasizes automation and AI deployment, whereas Data Engineers concentrate on data architecture and pipeline development.

More about Devops Ai jobs
What cities are hiring for Devops Ai jobs? Cities with the most Devops Ai job openings:
What states have the most Devops Ai jobs? States with the most job openings for Devops Ai jobs include:
Infographic showing various Devops Ai job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $125,908 per year, or $60.5 per hour.

DevOps AI Cloud Engineer / Onsite in Raleigh, NC

Motion Recruitment

Raleigh, NC • On-site

$51.25 - $70.25/hr

Full-time

Re-posted 4 days ago


Job description

This Raleigh-based organization is seeking a Hybrid AI Cloud Engineer (DevOps-focused) to join a small but rapidly growing team, working onsite 3 days per week. This role blends modern DevOps practices with cutting-edge Generative AI, leveraging technologies such as AWS, Terraform, Kubernetes (EKS), Jenkins CI/CD, and Amazon Bedrock. The position is ideal for a mid-level engineer who is eager to deepen their experience in AI infrastructure while contributing to a highly impactful platform buildout.
This is a unique opportunity to work directly alongside early AI/ML hires, helping shape the organization’s cloud and AI strategy from the ground up. The engineer in this role will drive real innovation—building scalable systems that operationalize AI, integrating LLMs into production environments, and enabling automation across the business. Strong learning agility, curiosity around AI tooling, and a hands-on mindset will set candidates apart. Required Skills & Experience
  • 3–6+ years of experience in DevOps, Cloud Engineering, or similar
  • Strong experience with AWS cloud services
  • Infrastructure as Code expertise with Terraform
  • Experience with containerization (Docker) and orchestration via Kubernetes / EKS
  • CI/CD pipeline experience, preferably with Jenkins
  • Hands-on exposure to Generative AI tools (e.g., Amazon Bedrock, OpenAI APIs, or similar)
  • Experience working with or integrating Large Language Models (LLMs)
  • Ability to deploy, manage, and scale cloud-native systems
  • Strong understanding of system reliability, monitoring, and automation
  • Solid communication skills and ability to work in a collaborative team environment
Desired Skills & Experience
  • Experience building or contributing to MLOps platforms or AI infrastructure
  • Exposure to AI governance, compliance, or regulatory frameworks
  • Familiarity with Python or similar scripting languages for automation
  • Experience building or deploying AI agents or GenAI-based applications
  • Knowledge of security best practices in cloud and AI environments
  • Startup or early-stage team experience (comfort with ambiguity and rapid change)
What You Will Be Doing
Tech Breakdown
  • 60% DevOps / Cloud Infrastructure (AWS, Terraform, Kubernetes, CI/CD)
  • 40% AI/ML Integration & Platform Development (Bedrock, LLMs, GenAI tools)
Daily Responsibilities
  • 40% Designing and building scalable AI platform infrastructure
  • 30% Implementing and optimizing CI/CD pipelines and cloud environments
  • 20% Integrating and deploying AI/GenAI solutions and LLM-based applications
  • 10% Staying current with AI regulations, governance, and best practices
The Offer
  • 15% annual bonus
  • Hybrid work model (Raleigh – onsite 3 days/week)
  • Opportunity to join a growing AI-focused team at an early stage
  • Work on high-impact, cutting-edge AI and cloud initiatives