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Ai Devops Engineer Jobs in Dallas, TX (NOW HIRING)

Ruri Software Technologies LLC

AI DevOps Engineer

Plano, TX · On-site

$50.75 - $69.50/hr

AI DevOps Engineer Role : Onsite Client address: 2900 W Plano Pkwy Plano, TX 75075 Years of experience required: 9+Y An AI DevOps Engineer is responsible for integrating artificial intelligence and ...

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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 ...

New

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.

Copart, Inc.

Senior DevOps Engineer

Dallas, TX · On-site

$128K - $165K/yr

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.

The AES Group

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 ...

Apex Informatics

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:

3B Staffing LLC

AWS DevOps Engineer

Murphy, TX · On-site

$50.50 - $69/hr

AWS DevOps Engineer with AI/ML Location: Plano, TX Duration: 06 Month RTH Must Have Skills: * AI/ML knowledge (2-3 years) * AWS * Observability tools - Grafana, Slunk, Dynatrace * Automation ...

3B Staffing LLC

AWS DevOps Engineer

Murphy, TX · On-site

$50.50 - $69/hr

AWS DevOps Engineer with AI/ML Location: Plano, TX Duration: 06 Month RTH Must Have Skills: * AI/ML knowledge (2-3 years) * AWS * Observability tools - Grafana, Slunk, Dynatrace * Automation ...

Adidev Technologies Inc

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.

3B Staffing LLC

DevOps Engineer

Murphy, TX · On-site

$50.50 - $69/hr

DevOps Engineer work onsite 3-days per week in Plano, TX. Azure DevOps, Terraform, Ansible, Kubernetes, Docker, Azure Cloud Services, CI/CD Pipelines, PowerShell/Bash/Python, Git/GitHub/GitLab, Azure ...

Adidev Technologies Inc

DevOps Engineer

Dallas, TX

$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 ...

Cliff Services Inc

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)

Adidev Technologies Inc

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.

3B Staffing LLC

DevOps Engineer

Murphy, TX · On-site

$50.50 - $69/hr

DevOps Engineer work onsite 3-days per week in Plano, TX. Azure DevOps, Terraform, Ansible, Kubernetes, Docker, Azure Cloud Services, CI/CD Pipelines, PowerShell/Bash/Python, Git/GitHub/GitLab, Azure ...

Glint Tech Solutions LLC

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 ...

Precision Technologies

DevOps Engineer

Irving, TX · On-site

$50.75 - $69.50/hr

Role: Sr DevOps Engineer (13569) Location: Irving, TX Duration: Contract About This Opportunity: As a senior devOps engineer, you will join a multidisciplinary team of product managers, designers ...

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All JobsAi Devops Engineer JobsAi Devops Engineer Jobs in Dallas, TX

Ai Devops Engineer information

See Dallas, TX salary details

$16

$59

$85

How much do ai devops engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for ai devops engineer in Dallas, TX is $59.88, according to ZipRecruiter salary data. Most workers in this role earn between $50.19 and $68.70 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 are popular job titles related to Ai Devops Engineer jobs in Dallas, TX?

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

What job categories do people searching Ai Devops Engineer jobs in Dallas, TX look for?

The top searched job categories for Ai Devops Engineer jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Ai Devops Engineer jobs?

Cities near Dallas, TX with the most Ai Devops Engineer job openings:

Ai Devops Engineer jobs near you
Infographic showing various Ai Devops Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $124,553 per year, or $59.9 per hour.

AI DevOps Engineer

Ruri Software Technologies LLC

Plano, TX • On-site

$50.75 - $69.50/hr

Full-time

Posted 2 days ago

New

Job description

Job title: AI DevOps Engineer
Role : Onsite
Client address: 2900 W Plano Pkwy Plano, TX 75075
Years of experience required: 9+Y
An AI DevOps Engineer is responsible for integrating artificial intelligence and machine learning models into operational environments, managing cloud infrastructure, and automating deployment pipelines. This role ensures AI solutions are reliable, scalable, and secure, while collaborating with data scientists, software engineers, and business stakeholders to deliver AI-powered products effectively
Job Description:
AI/ML Deployment and Operations: Deploy, monitor, and maintain AI and ML models in production environments, ensuring performance and reliability Infrastructure Management: Provision, configure, and maintain cloud and on-premises infrastructure, including GPU servers and high-performance computing resources CI/CD Pipeline Development: Build and manage continuous integration and continuous deployment pipelines for AI applications Automation and Scripting: Automate repetitive tasks, infrastructure provisioning, and model deployment using scripting languages like Python Collaboration: Work closely with cross-functional teams, including engineers, data scientists, and product managers, to design and implement AI solutions Monitoring and Security: Implement monitoring, logging, and security best practices to ensure AI systems operate safely and efficiently Documentation and Training: Create technical documentation and provide training to end-users or team members on AI system usage and maintenance
Required Skills and Qualifications
Programming: Proficiency in Python is essential; familiarity with other languages like Bash or Java is beneficial Cloud Platforms: Experience with cloud services such as AWS, Azure, or Google Cloud for AI deployment AI/ML Knowledge: Understanding of machine learning models, data pipelines, and AI frameworks (e.g., TensorFlow, PyTorch) is highly desirable DevOps Tools: Experience with CI/CD tools (Jenkins, GitLab CI), containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform, Ansible) is important Problem-Solving: Ability to troubleshoot complex system issues and optimize AI workflows Communication: Strong collaboration and communication skills to work with technical and non-technical stakeholders
Years of Experience: 10.00 Years of Experience
Regards
Surya
Surya@rurisoft.com

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