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Ai Devops Engineer Jobs in Texas (NOW HIRING)

DevOps Engineer

Round Rock, TX · Hybrid

$49.25 - $67.50/hr

As a DevOps Engineer, you are part of a mission-critical team that ensures our global engineering ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

DevOps Engineer

Round Rock, TX · On-site

$49.25 - $67.50/hr

As a DevOps Engineer, you are part of a mission-critical team that ensures our global engineering ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

DevOps Engineer

Round Rock, TX · Hybrid

$49.25 - $67.50/hr

As a DevOps Engineer, you are part of a mission-critical team that ensures our global engineering ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Lead Azure DevOps Engineer

Frisco, TX · On-site

$49.25 - $67.50/hr

... AI, engineering, and other emerging technologies. Key Responsibilities * Lead Azure DevOps and cloud initiatives for AD. * Work closely with client and delivery teams to design, implement, and ...

DevOps Engineer

Plano, TX · On-site

$70/hr

Job#: 3041911 Title : AWS DevOps Engineer Duration: Contract - Estimated 6 Month Length with ... By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails ...

DevOps Engineer

Austin, TX · Hybrid

$52.25 - $71.50/hr

Today it is the platform that drives AI adoption across the enterprise. Enterprise work stays ... We are looking for a DevOps Engineer to join our amazing Cloud Engineering team. We are developing ...

DevOps Engineer

Houston, TX · Hybrid

$50.25 - $69/hr

Today it is the platform that drives AI adoption across the enterprise. Enterprise work stays ... We are looking for a DevOps Engineer to join our amazing Cloud Engineering team. We are developing ...

DevOps Engineer

Dallas, TX · On-site

$48.75 - $66.75/hr

Position Title * DevOps Engineer ACSXAG85 Position Responsibilities DevOps Engineer Plano TX (Hybrid role) Visa Open (W2 Candidates) Must have skill: Ansible, DevOps Specialist, DevOps Qualifications:

DevOps Engineer

Dallas, TX · On-site

$52.25 - $71.50/hr

Job Advertisement - DevOps Engineer Company Overview: We are a fastgrowing technology company focused on delivering reliable, scalable, and secure cloudnative applications to enterprise clients. Our ...

DevOps Engineer

Dallas, TX · On-site

$120 - $180/hr

Job Advertisement - DevOps Engineer Company Overview: We are a fast‑growing technology company focused on delivering reliable, scalable, and secure cloud‑native applications to enterprise clients.

DevOps Engineer

Austin, TX · On-site

$100 - $150/hr

Job Advertisement - DevOps Engineer We are a fast‑growing technology company focused on delivering reliable, scalable, and secure cloud‑native applications to enterprise clients. Our engineering ...

DevOps Engineer

Dallas, TX · On-site

$52.25 - $71.50/hr

Job Advertisement - DevOps Engineer Company Overview: We are a fast-growing technology company focused on delivering reliable, scalable, and secure cloud-native applications to enterprise clients.

DevOps Engineer

Austin, TX · On-site

$52.25 - $71.50/hr

Job Advertisement - DevOps Engineer Company Overview: We are a fastgrowing technology company focused on delivering reliable, scalable, and secure cloudnative applications to enterprise clients. Our ...

DevOps Engineer

Austin, TX · On-site

$52.25 - $71.50/hr

Job Advertisement - DevOps Engineer Company Overview: We are a fast-growing technology company focused on delivering reliable, scalable, and secure cloud-native applications to enterprise clients.

Devops Engineer

Richardson, TX · On-site

$48 - $65.50/hr

Python Scripting * Kubernetes * DevOps (CI/CD) * Terraform (Infrastructure as Code) * Cloud ... AI/ML Platform exposure Experience: 6+ Years (Preferred)

DevOps Engineer

Plano, TX · On-site

$110 - $150/hr

Job Title: DevOps Engineer Location: Plano, TX (Hybrid -- 3 days/week onsite; only local candidates will be considered) Company Overview Our client is a leading multinational telecommunications ...

DevOps Engineer

Austin, TX · On-site

$52.25 - $71.50/hr

We are looking for a DevOps Engineer to help us build functional systems that improve customer experience. DevOps Engineer responsibilities include deploying product updates, identifying production ...

DevOps Engineer

Dallas, TX · On-site

$52.25 - $71.50/hr

TITLE : DEVOPS ENGINEER LOCATION : DALLAS, TX Work with the Sr DevOps engineer to implement the DevOps, CI/CD function Work with the Sr DevOps engineer to identifying the tool set for, designing and ...

Showing results 21-40

Ai Devops Engineer information

See Texas salary details

$15

$56

$80

How much do ai devops engineer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for ai devops engineer in Texas is $56.40, according to ZipRecruiter salary data. Most workers in this role earn between $47.26 and $64.71 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.

What job categories do people searching Ai Devops Engineer jobs in Texas look for?

The top searched job categories for Ai Devops Engineer jobs in Texas are:

What cities in Texas are hiring for Ai Devops Engineer jobs?

Cities in Texas with the most Ai Devops Engineer job openings:

Infographic showing various Ai Devops Engineer job openings in Texas as of August 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $117,303 per year, or $56.4 per hour.

DevOps Engineer

Actian Corporation

Round Rock, TX • Hybrid

$49.25 - $67.50/hr

Full-time

Re-posted 20 days ago


Job description

About Actian

Actian, a division of HCLSoftware, is the leader in data intelligence. We develop high-performance database technologies (including Ingres, Vector, and Zen) that power the world, most demanding industries. As a DevOps Engineer, you are part of a mission-critical team that ensures our global engineering force has the most reliable and efficient build environments possible.

Actian is seeking a DevOps Engineer with 3-5 years of experience supporting enterprise infrastructure environments. This role requires strong Linux and Windows system administration skills along with experience in automation, operational compliance, and audit support. The position works closely with engineering, operations, and security teams to maintain and improve critical infrastructure systems and operational processes.

Position requires employee to be physically located in the Austin Texas metro for hybrid working schedule. No relocation is available for this position at this time.  

Responsibilities:
  • Administering and supporting Linux and Windows systems
  • Performing system maintenance, patching, upgrades, and troubleshooting
  • Supporting internal and external audit activities, including evidence collection and remediation tracking
  • Maintaining infrastructure and operational documentation
  • Developing and maintaining automation using Ansible
  • Working with Git-based workflows and configuration management
  • Supporting operational security and compliance initiatives
  • Assisting with infrastructure modernization and process improvement efforts
Preferred Experience:
  • Ansible and Git
  • Bash, PowerShell, or Python scripting
  • Virtualization platforms such as VMware or Proxmox
  • Backup and recovery platforms
  • Compliance and audit processes
  • Monitoring and infrastructure management tools
Ideal Candidate:
  • Organized, detail-oriented, technically strong, and comfortable balancing hands-on operational responsibilities with compliance and process requirements. Strong communication skills and the ability to work across teams in a fast-paced environment are important for success in this role.
  • Looking for candidates who have spent most of their career managing on-premises servers and infrastructure, not cloud environments. Cloud-native engineers with primarily Kubernetes and AWS/GCP/Azure experience are not a match.
  • Must be located in the Austin Texas area. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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