1

Ai Developer Operations Engineer Jobs in Dallas, TX

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 ...

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 ...

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.

DevOPs Engineer

Plano, TX · On-site

$50.50 - $69.25/hr

The Azure DevOps Engineer will partner closely with software engineers, AI engineers, data engineers, architects, cybersecurity teams, and product teams to establish DevOps standards, automate ...

DevOps Engineer - Remote

Dallas, TX · Remote

$50 - $150/hr

No prior AI experience is required--your DevOps expertise and engineering judgment are what matter most. Key Responsibilities * Design realistic DevOps tasks covering CI/CD, containers, Kubernetes ...

DevOPs Engineer

Plano, TX · On-site

$50.75 - $69.50/hr

The Azure DevOps Engineer will partner closely with software engineers, AI engineers, data engineers, architects, cybersecurity teams, and product teams to establish DevOps standards, automate ...

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.

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

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

$52.50 - $71.75/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

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

$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

$50.75 - $69.50/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

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 ...

DevOps Engineer

Westlake, TX · On-site

$65 - $70/hr

On-site Every Other Week onsite / 5 days in either Westlake, TX or Merrimack, NH As a DevOps team ... All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring ...

next page

Showing results 1-20

Ai Developer Operations Engineer information

See Dallas, TX salary details

$35.6K

$84.1K

$133.5K

How much do ai developer operations engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for ai developer operations engineer in Dallas, TX is $84,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,800.00 and $93,000.00 per year, depending on experience, location, and employer.

What is the difference between Ai Developer Operations Engineer vs Data Scientist?

AspectAi Developer Operations EngineerData Scientist
Required credentialsBachelor's in CS, Engineering, or related; certifications in cloud or DevOpsBachelor's or higher in Statistics, Math, or CS; often with data analysis certifications
Work environmentDevOps teams, cloud platforms, AI model deploymentData analysis, modeling, research teams
Employer usageTech companies, AI startups, cloud providersResearch institutions, tech firms, finance, healthcare
Search intentAI deployment, operations, automationData analysis, insights, modeling

The Ai Developer Operations Engineer focuses on deploying, maintaining, and automating AI models in production environments, often working closely with DevOps teams. Data Scientists primarily analyze data, build models, and generate insights. While both roles require technical skills, the Operations Engineer emphasizes deployment and system integration, whereas Data Scientists focus on data analysis and modeling.

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

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

AI DevOps Engineer

Plano, TX • On-site

Ruri Software Technologies LLC
Software Development • 11 - 50 employees

$50.75 - $69.50/hr

Full-time

Posted 8 days ago


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