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Devops Ai Jobs (NOW HIRING)

Capco

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.

AGFA

DevOps Developer

OR · On-site +1

Use AI-assisted tools responsibly to improve DevOps productivity, troubleshooting, documentation, automation, and pipeline analysis. * Identify practical use cases for AI in CI/CD, DevSecOps ...

Agfa

DevOps Developer

OR · Remote

Use AI-assisted tools responsibly to improve DevOps productivity, troubleshooting, documentation, automation, and pipeline analysis. * Identify practical use cases for AI in CI/CD, DevSecOps ...

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 ...

ERP Suites

AI Platform Engineer

Loveland, OH · Remote

Build, maintain, and optimize OCI DevOps pipelines, artifact repositories, and deployment ... Manage AI agent environments across development, testing, and production stages. * Support ...

ERP Suites

AI Platform Engineer

Loveland, OH · On-site +1

Cloud Infrastructure & DevOps: • Provision, configure, and manage Oracle Cloud Infrastructure ... AI Agent Deployment & Operations: • Own customer-facing AI agent deployment methodologies ...

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 ...

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 ...

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 ...

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.

Oraapps Inc

DevOps Engineer

Shelton, CT · On-site

$53 - $72.50/hr

Apply AI to DevOps workflows, operations, documentation, and governance, with appropriate review and control points * Partner across security/IAM, database, development, QA, and platform engineering ...

Future Secure AI

Platform DevOps Engineer

Austin, TX

$52.25 - $71.50/hr

We are looking for a Platform DevOps Engineer to help design, build, and operate the platforms that power AI CoWorkers. This is a handson role for an engineer who enjoys owning reliability endtoend ...

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Devops Ai information

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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.

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What states have the most Devops Ai jobs? States with the most job openings for Devops Ai jobs include:
What job categories do people searching Devops Ai jobs look for? The top searched job categories for Devops Ai jobs are:
Devops Ai jobs near you
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.

AI Ops / DevOps Engineer

NTT DATA Americas, Inc

Sandy Springs, GA • On-site

$52.25 - $71.75/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

NTT Data rating

7.4

Company rating: 7.4 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

115th of 221 rated it services

Job description

Req ID: 382452
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
NTT DATA''s Client is seeking a Senior AI Ops / DevOps Engineer to join their team in Atlanta, Georgia (US-GA), United States (US).
The Senior AI Ops / DevOps Engineer will architect, build, and manage next-generation AI-driven CI/CD and cloud operations ecosystems. This role will go beyond traditional DevOps automation by integrating LLM agents, Model Context Protocol servers, intelligent observability, and secure AI-assisted workflows into the software delivery lifecycle.
  • Architect, build, and manage AI-enabled CI/CD pipelines that improve developer productivity, code quality, release reliability, and deployment speed.
  • Design and deploy production-grade Model Context Protocol clients and servers to securely connect enterprise LLMs with engineering tools, repositories, cloud infrastructure, and observability platforms.
  • Develop custom MCP servers using Python, TypeScript, Node.js, or JavaScript to expose logs, infrastructure metrics, deployment data, and internal tools to authorized AI agents.
  • Integrate LLM agents into developer workflows to support automated code review, vulnerability detection, test generation, release validation, and infrastructure recommendations.
  • Build and maintain robust CI/CD pipelines using GitHub Actions, GitLab CI, CircleCI, ArgoCD, Jenkins, or similar tools.
  • Implement ChatOps 2.0 capabilities that allow engineers to interact with deployment pipelines, cloud environments, logs, and operational workflows using secure conversational interfaces.
  • Create safe autonomous remediation workflows for log analysis, incident triage, root-cause analysis, and infrastructure issue resolution.
  • Build guardrails that allow AI agents to generate, inspect, and safely execute Infrastructure as Code using Terraform, OpenTofu, Terragrunt, Pulumi, Crossplane, or similar tools.
  • Manage containerized workloads using Docker and Kubernetes platforms such as AWS EKS, Azure AKS, or Google GKE.
  • Integrate AI-driven observability workflows with platforms such as Datadog, Prometheus, Grafana, CloudWatch, Splunk, Dynatrace, or ELK.
  • Implement AI safety controls including role-based access control, least-privilege execution, human-in-the-loop approvals, audit logging, rollback mechanisms, and secure tool access.
  • Partner with software engineering, DevOps, SRE, security, platform, and data/AI teams to identify opportunities for intelligent automation.
  • Create reusable automation frameworks, runbooks, dashboards, documentation, and enablement materials for engineering teams.
  • Drive an "automate everything” culture by reducing manual toil and improving operational efficiency across cloud and software delivery processes.

Basic Qualifications
  • Minimum 7+ years of experience in DevOps, Cloud Engineering, SRE, Platform Engineering, or Infrastructure Automation.
  • Minimum 4+ years of hands-on experience designing and managing CI/CD pipelines using GitHub Actions, GitLab CI, CircleCI, Jenkins, ArgoCD, or similar platforms.
  • Minimum 3+ years of experience managing scalable cloud environments in AWS, Azure, or Google Cloud Platform, with strong preference for AWS.
  • Minimum 3+ years of Strong hands-on experience with Kubernetes, Docker, and production container orchestration platforms such as EKS, AKS, or GKE.
  • Advanced proficiency with Infrastructure as Code tools such as Terraform, OpenTofu, Terragrunt, Pulumi, CloudFormation, or Crossplane.
  • Minimum 3+ years of Strong programming and scripting experience using Python, TypeScript, JavaScript, Bash, or Go.
  • Minimum 3+ years of Practical experience working with LLM APIs such as OpenAI, Anthropic, or similar enterprise AI platforms.
  • Minimum 3+ years of Experience with AI orchestration or agentic frameworks such as LangChain, CrewAI, LlamaIndex, or similar tools.
  • Minimum 3+ years of Strong understanding of the Model Context Protocol ecosystem and experience designing or integrating MCP clients and servers.
  • Minimum 3+ years of Experience integrating DevSecOps controls into CI/CD pipelines, including SAST, DAST, dependency scanning, container scanning, secrets scanning, and vulnerability management.
  • Minimum 3+ years of Strong knowledge of secret management and security tooling such as HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, or similar platforms.
  • Minimum 3+ years of Experience with observability, monitoring, logging, and alerting platforms such as Datadog, Prometheus, Grafana, CloudWatch, Splunk, Dynatrace, or ELK.
  • Familiarity with security and compliance frameworks such as SOC2, ISO27001, or enterprise audit control environments.
  • Ability to troubleshoot complex pipeline, infrastructure, deployment, and production issues across cloud-native environments.
Preferred / Nice to Have
  • Experience building AI-assisted infrastructure provisioning workflows.
  • Experience implementing autonomous or semi-autonomous incident response and remediation capabilities.
  • Experience with MLOps, model deployment pipelines, model monitoring, MLflow, SageMaker, or equivalent platforms.
  • Experience implementing human-in-the-loop approval models for AI-generated operational actions.
  • Experience with policy-as-code tools such as Open Policy Agent, Sentinel, Checkov, or similar solutions.
  • Experience working in regulated industries such as banking, financial services, healthcare, or insurance.
  • Experience with GitOps operating models using ArgoCD, Flux, or similar tools.
  • AWS, Kubernetes, DevOps, Security, or AI/ML certifications are a plus.
  • Soft Skills & Mindset
  • Strong "automate everything” mindset with a passion for reducing repetitive manual tasks and operational toil.
  • Security-first approach with practical skepticism of autonomous AI actions and a focus on validation, boundaries, approvals, and rollback.
  • Ability to bridge traditional software engineering, DevOps, SRE, security, and data/AI teams.
  • Strong communication skills with the ability to explain complex AI-enabled DevOps concepts to both technical and leadership audiences.
  • Collaborative educator who can help upskill engineering teams on AI-assisted delivery, secure automation, and modern DevOps practices.
  • Ownership mindset with the ability to design solutions, implement them hands-on, and support them in production.
Travel
  • This position requires 3 days in office per the client/project requirement.
Degree
  • Bachelor''s degree in Computer Science, Engineering, Information Technology, or equivalent work experience.

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($60-$70/hour).  This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate''s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.
 
This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits.
About NTT DATA:
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you''d like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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About NTT DATA

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NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967

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