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Ai Reliability Engineer Jobs in Taylor, TX (NOW HIRING)

Future Secure AI

Site Reliability Engineer

Austin, TX · On-site

$56.50 - $75/hr

About the Role We are looking for a Site Reliability Engineer to help design, build, and operate the platforms that power AI CoWorkers. This is a handson role for an engineer who enjoys owning ...

OmegaHires

Site Reliability Engineer

Austin, TX · On-site

$56.50 - $75/hr

The role involves leveraging Microsoft technologies to advance high-priority AI initiatives and platform capabilities. **Position Overview for the Site Reliability Engineer:** - Support and ...

New

Seekr

AI Site Reliability Engineer

Austin, TX · On-site

$56.50 - $75/hr

We're looking for an AI Site Reliability Engineer to ensure the reliability, scalability, and safe operation of Seekr's AI-powered services and supporting infrastructure. You will combine software ...

Seekr

AI Site Reliability Engineer

Austin, TX · On-site

$56.50 - $75/hr

We're looking for an AI Site Reliability Engineer to ensure the reliability, scalability, and safe operation of Seekr's AI-powered services and supporting infrastructure. You will combine software ...

Exowatt

Quality & Reliability Engineer

Austin, TX · On-site

$101K - $127K/yr

Exowatt is revolutionizing the energy landscape for the AI era with our groundbreaking P3 system ... We're hiring a Quality & Reliability Engineer to own both the quality of our supply chain and ...

Exowatt

Quality & Reliability Engineer

Austin, TX · On-site

$101K - $127K/yr

Exowatt is revolutionizing the energy landscape for the AI era with our groundbreaking P3 system ... We're hiring a Quality & Reliability Engineer to own both the quality of our supply chain and ...

Exowatt

Quality & Reliability Engineer

Austin, TX

$101K - $127K/yr

Exowatt is revolutionizing the energy landscape for the AI era with our groundbreaking P3 system ... We're hiring a Quality & Reliability Engineer to own both the quality of our supply chain and ...

Satsuma

Senior Site Reliability Engineer

Austin, TX · On-site

$56.50 - $75/hr

But we're an AI-native company, and we expect you to use AI-assisted development (Claude Code) as a ... Partner closely with engineering on reliability reviews and architecture decisions Requirements * 5 ...

Satsuma

Senior Site Reliability Engineer

Austin, TX · Remote

$58.25 - $77.50/hr

But we're an AI-native company, and we expect you to use AI-assisted development (Claude Code) as a ... Partner closely with engineering on reliability reviews and architecture decisions Requirements * 5 ...

Satsuma

Senior Site Reliability Engineer

Austin, TX · On-site +1

$56.50 - $75/hr

But we're an AI-native company, and we expect you to use AI-assisted development (Claude Code) as a ... Partner closely with engineering on reliability reviews and architecture decisions Requirements * 5 ...

Autonomize Inc

CloudOps / SRE Engineer

Austin, TX · On-site

$56.50 - $75/hr

About Autonomize AI Autonomize AI is revolutionizing healthcare by streamlining knowledge workflows ... The Opportunity We're looking for a CloudOps / Site Reliability Engineer to lead the charge in ...

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All JobsAi Reliability Engineer JobsAi Reliability Engineer Jobs in Taylor, TX

Ai Reliability Engineer information

See Taylor, TX salary details

$61.6K

$119.1K

$142.4K

How much do ai reliability engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for ai reliability engineer in Taylor, TX is $119,127.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,500.00 and $130,300.00 per year, depending on experience, location, and employer.

What is an AI reliability engineer?

AI Reliability Engineers are professionals responsible for ensuring that artificial intelligence systems function reliably, safely, and effectively over time. They work on monitoring AI models in production, identifying and mitigating potential failures, and improving the robustness of AI systems. Their tasks often include testing, validation, performance monitoring, and implementing best practices for maintaining AI infrastructure. By focusing on reliability, they help organizations deploy AI solutions that are dependable and trustworthy in real-world environments.

What are some common challenges AI reliability engineers face when ensuring model robustness in production environments?

Ai Reliability Engineers often encounter challenges such as monitoring AI model performance for drift or unexpected behavior, managing data quality issues, and implementing automated alerting systems for anomalies. In production, it's crucial to ensure that AI models operate consistently and remain reliable under varying conditions and data inputs. Collaborating closely with data scientists, software engineers, and DevOps teams is essential to address these challenges and to continuously improve model reliability and uptime.

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

To thrive as an AI Reliability Engineer, you need a solid background in computer science or engineering, expertise in AI/ML concepts, and experience with software testing and reliability methodologies. Familiarity with tools like TensorFlow, PyTorch, CI/CD pipelines, and reliability testing frameworks, along with certifications in cloud platforms (e.g., AWS Certified Machine Learning), is highly valuable. Analytical thinking, problem-solving abilities, and strong collaboration skills set top performers apart in this role. These skills ensure robust, dependable AI systems that meet performance standards and maintain trust in critical applications.

What is the difference between Ai Reliability Engineer vs Data Scientist?

AspectAi Reliability EngineerData Scientist
Required CredentialsBachelor's or master's in CS, engineering, or related; certifications in AI/MLBachelor's or master's in CS, statistics, or related; certifications in data analysis or ML
Work EnvironmentTech companies, AI-focused teams, engineering departmentsResearch labs, tech firms, analytics teams
Employer & Industry UsageAI product development, machine learning systems, reliability testingData analysis, predictive modeling, business insights

While both roles involve AI and ML, Ai Reliability Engineers focus on ensuring AI system robustness and uptime, whereas Data Scientists analyze data to generate insights and models. The roles often collaborate but serve different primary functions within AI projects.

What cities near Taylor, TX are hiring for Ai Reliability Engineer jobs?

Cities near Taylor, TX with the most Ai Reliability Engineer job openings:

Ai Reliability Engineer jobs near you
Infographic showing various Ai Reliability Engineer job openings in Taylor, TX as of August 2026, with employment types broken down into 73% Full Time, 22% Part Time, and 5% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $119,127 per year, or $57.3 per hour.

Site Reliability Engineer

Future Secure AI

Austin, TX • On-site

$56.50 - $75/hr

Full-time

Re-posted 22 days ago

Job description

About the Role

We are looking for a Site Reliability 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 and working closely with product, AI, and engineering teams.

Responsibilities

  • Design, build, and operate reliable production infrastructure supporting AI CoWorkers
  • Own Kubernetesbased platforms used to deploy and run AI workloads
  • Build and maintain infrastructure as code using Terraform
  • Implement and maintain Helmbased deployment workflows
  • Define, measure, and improve system reliability using SLIs, SLOs, and SLAs
  • Participate in oncall rotation, incident response, root cause analysis, and postmortems
  • Reduce operational toil through automation and engineering improvements
  • Build and improve observability across monitoring, logging, and alerting
  • Partner closely with engineers to ensure systems are resilient, scalable, and secure
  • Operate across build, deploy, and operate phases of the software lifecycle

Minimum Qualifications

  • Bachelors Degree in Computer Science, Information Systems, or related field
  • 5+ years of professional experience in Site Reliability Engineering or DevOps Engineering
  • Kubernetes experience designing, building, or operating workloads on EKS, AKS, GKE, or selfmanaged Kubernetes
  • Terraform experience for infrastructure provisioning and automation
  • Helm experience for Kubernetes application deployment
  • Professional experience using at least two programming or scripting languages such as Python, Go, Java, Bash, PowerShell, or Ruby
  • Direct experience with reliability engineering, oncall rotations, incident response, postmortems, and toil reduction
  • DevOps or DevSecOps experience, including CI/CD ownership, infrastructure automation, and security considerations

Preferred Qualifications

  • Masters Degree in Computer Science, Information Systems, or related field
  • Experience working within a defined SDLC, including CI/CD, release processes, and endtoend delivery from design to operations
  • Handson experience with at least one major cloud provider such as AWS, Azure, or Google Cloud
  • Experience with ArgoCD or GitOpsstyle deployment approaches
  • Relevant certifications such as CKA, CKAD, cloud certifications, DevOps, DevSecOps, or programming credentials

Why Join Us?

  • A high-performance culture
  • State-of-the-art technology
  • Experience world-class leadership
  • Scale of impact and purpose
  • A competitive salary and a huge growth trajectory
  • Work with the best in the industry
  • Flexible work environment
  • Diversity and creativity

Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website.

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