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

Artech

AI/Dev Ops Engineer

Austin, TX · On-site

$34 - $36/hr

AI/DevOps Engineer Location: Austin TX ( 100% ONSITE ROLE local candidates only) Duration: 6 months Pay Rate: $34.00/hr -$36.00/hr on W2 (All inclusive) Applicants must be able to work on W2 without ...

Driver AI Inc.

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 ...

Driver AI Inc.

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 ...

Swap Commerce

DevOps Engineer

Austin, TX · Remote

$52.25 - $71.50/hr

DevOps Engineer Swap is the infrastructure behind modern agentic commerce ... The only AI-native platform connecting backend operations with a forward-thinking storefront ...

APN Consulting

DevOps Engineer

Austin, TX · On-site

$52.25 - $71.50/hr

DevOps Engineer APN Consulting, Inc. is a progressive IT staffing and services company offering ... We focus on high impact technology solutions in ServiceNow, Fullstack, Cloud & Data, and AI / ML.

Actian

DevOps Engineer

Round Rock, TX · On-site

$49 - $67.25/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 ...

Actian Corporation

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 ...

Actian Corporation

DevOps Engineer

Round Rock, TX

$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 ...

Actian Corporation

DevOps Engineer

Round Rock, TX

$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 ...

Avtal

Platform & DevOps Engineer

Austin, TX · On-site

$52.25 - $71.50/hr

MTS DevOps Engineer Location : Austin, TX Job Type : Full-Time Department : Engineering / DevOps ... Support infrastructure for AI-powered services, including runtime reliability, operational ...

Diverse Lynx

DevOps AI Engineer

Austin, TX · On-site

$52.25 - $71.50/hr

DevOps AI Engineer Looking for AI engineer profile with DevOps experience. LLM experience with drifting, inference, RAG, etc. Excellent written and verbal communication. Experience of leading office ...

1872 Consulting

DevOps Engineer

Austin, TX · Hybrid

$52.25 - $71.50/hr

DevOps Engineer Austin, TX, Franklin, TN, Las Vegas, NV, or Reno, NV Hybrid Position Summary: We're looking for a DevOps Engineer to deploy gaming applications to both on-prem and cloud environments.

Blue Horizon Tek Solutions

DevOps Engineer

Austin, TX · Hybrid

$52.25 - $71.50/hr

This role will work directly with the Software Engineering Team, Quant Analytics Team, AI Labs, and ... and operational policies and procedures for cloud applications. * Develop continuous delivery ...

Infosys

DevOps Engineer

Austin, TX · On-site

$52.25 - $71.50/hr

Infosys is a global leader in driving digital transformation for financial institutions, specializing in advanced technologies such as AI and cloud. The DevOps Engineer role involves contributing to ...

Adidev Technologies Inc

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.

Diverse Lynx

AI Engineer (DevOps)

Austin, TX · On-site

$125K - $130K/yr

AI Engineer (DevOps) Location: Austin, TX or Sunnyvale, CA Rate: $125K -$130K Annual * Looking for AI engineer profile with DevOps experience. * LLM experience with drifting, inference, RAG, etc.

Adidev Technologies Inc

DevOps Engineer

Austin, 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 ...

Adidev Technologies Inc

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.

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How much do ai devops engineer jobs pay per hour?

As of May 28, 2026, the average hourly pay for ai devops engineer in Austin, TX is $59.99, according to ZipRecruiter salary data. Most workers in this role earn between $50.24 and $68.85 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI DevOps Engineer, and why are they important?

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 are AI DevOps Engineers?

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 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.

What are popular job titles related to Ai Devops Engineer jobs in Austin, TX? For Ai Devops Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Ai Devops Engineer jobs in Austin, TX look for? The top searched job categories for Ai Devops Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Ai Devops Engineer jobs? Cities near Austin, TX with the most Ai Devops Engineer job openings:
Ai Devops Engineer jobs near you
Infographic showing various Ai Devops Engineer job openings in Austin, TX as of May 2026, with employment types broken down into 65% Full Time, 21% Part Time, and 14% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $124,772 per year, or $60 per hour.

AI/Dev Ops Engineer

Artech

Austin, TX • On-site

$34 - $36/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Request ID: 75337-1
Title: AI/DevOps Engineer
Location: Austin TX (100% ONSITE ROLE local candidates only)
Duration: 6 months
Pay Rate: $34.00/hr -$36.00/hr on W2 (All inclusive)
Applicants must be able to work on W2 without any Visa sponsorship
Key Responsibilities:
AI
  • Develop and implement AI solutions using modern frameworks and tools
  • Design and optimize Model Context Protocol (MCP) integrations for various applications
  • Create and refine AI skills and capabilities for enterprise use cases
  • Conduct prompt engineering experiments to improve model performance and reliability
  • Collaborate with senior engineers on AI model deployment and monitoring
  • Contribute to AI project documentation and best practices
DevOps & Infrastructure
  • Implement Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, or Pulumi
  • Support GitHub Enterprise Managed Users (EMU) migration initiatives
  • Automate deployment pipelines and CI/CD processes
  • Troubleshoot Linux-based systems and resolve infrastructure issues
  • Monitor system performance and implement optimization strategies
  • Maintain and enhance cloud infrastructure across multiple environments
General Responsibilities
  • Participate in code reviews and maintain high-quality coding standards
  • Collaborate with cross-functional teams on project planning and execution
  • Stay current with industry trends in AI, DevOps, and cloud technologies
  • Document processes, solutions, and troubleshooting procedures
  • Provide technical support and mentorship to team members as you grow

Preferred Experience:
Technical Skills
  • Bachelor's degree in computer science, Engineering, or related technical field
  • Programming experience in Python, JavaScript, or similar languages
  • Familiarity with Linux/Unix operating systems and command-line tools
  • Understanding of cloud platforms (AWS, Azure, or GCP) - certification preferred but not required
  • Experience with version control systems, particularly Git and GitHub
  • Knowledge of containerization technologies (Docker, Kubernetes) is a plus
  • Exposure to AI/ML frameworks (TensorFlow, PyTorch, Hugging Face) through coursework or projects
  • Experience with Infrastructure as Code tools
  • Familiarity with monitoring and observability tools (Prometheus, Grafana, ELK stack)

Soft Skills
  • Strong analytical and problem-solving abilities
  • Excellent written and verbal communication skills
  • Ability to work independently and manage multiple priorities
  • Demonstrated interest in emerging technologies through personal projects, internships, or coursework
  • Experience working in team environments, preferably in agile methodologies
Company Benefits & Culture
  • Inclusive and diverse work environment
  • Opportunities for professional growth and development
  • Comprehensive health and wellness benefits

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