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Ai Reliability Engineer Jobs in Arizona (NOW HIRING)

Apex Systems

Site Reliability Engineer III

Chandler, AZ · On-site

$65 - $70/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Partner with platform engineering, networking, security, and AI infrastructure teams to embed reliability into solutions. * Support the consistent onboarding and sustained operation of enterprise ...

Genesis10

Site Reliability Engineer

Chandler, AZ · On-site

$60.24 - $68.24/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The ideal candidate will partner with platform engineering, networking, security, and AI infrastructure teams to embed reliability into Azure-native solutions, supporting observability, incident ...

Infosys Limited Digital

Site Reliability Engineer

Chandler, AZ · On-site

$56.25 - $74.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... ) Technical Skills 2 Technology|Open System|Shell scripting Technical Skills 3 Technology ... Our AI-driven solutions empower financial institutions to make smarter decisions, enhance customer ...

Infosys Limited Digital

Site Reliability Engineer

Chandler, AZ · On-site

$56.25 - $74.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... SRE) Technical Skills 2 Foundational|Development process generic|Object Oriented Development ... Our AI-driven solutions empower financial institutions to make smarter decisions, enhance customer ...

CVS Health

Senior Site Reliability Engineer (SRE)

Scottsdale, AZ · On-site

$92K - $203K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... AI/AIOps and Java/Python * 2+ years of experience with Cloud Technologies (AWS, Microsoft Azure ... Experience with retail SRE organizations, including experience with store systems; Point of Sale ...

TEKsystems

Sre Engineer

Chandler, AZ · On-site

$70.24/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Description We are seeking an experienced Site Reliability Engineer (SRE) to join a high-performing ... AI tools.

TEKsystems

Sre Engineer

Chandler, AZ

$70.24/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Description We are seeking an experienced Site Reliability Engineer (SRE) to join a high-performing ... AI tools.

Apex Systems

Site Reliability Engineer III

Chandler, AZ · On-site

$89.54 - $96.43/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

# Site Reliability Engineer IIIApply**Job#: 3039379**** **Site Reliability Engineer III**Location ... By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails ...

Apex Systems

Site Reliability Engineer III

Chandler, AZ · On-site

$58.25 - $77.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Job#: 3039379 Site Reliability Engineer III Location: Chandler, Arizona (Hybrid) Role Overview We ... By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails ...

Fox

Senior Engineer, AI Site Reliability

Tempe, AZ · On-site

$114K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Fox is hiring a Senior Engineer, AI Site Reliability to help build and operate infrastructure and platforms to support APIs around our live direct to consumer APIs for major live events such as the ...

Apex Systems

Site Reliability Engineer II

Chandler, AZ · On-site

$82.66 - $90.92/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Site Reliability Engineer II**Location:** Chandler, Arizona (Hybrid)Duration: 12 monthsRole ... By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails ...

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Ai Reliability Engineer information

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 are popular job titles related to Ai Reliability Engineer jobs in Arizona?

For Ai Reliability Engineer jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Ai Reliability Engineer jobs in Arizona look for?

The top searched job categories for Ai Reliability Engineer jobs in Arizona are:

What cities in Arizona are hiring for Ai Reliability Engineer jobs?

Cities in Arizona with the most Ai Reliability Engineer job openings:

Ai Reliability Engineer jobs near you

Site Reliability Engineer (SRE) - Devops & Platform Focus

Tror AI for everyone

Scottsdale, AZ • On-site

$57.50 - $76.25/hr

Contractor

Re-posted 3 days ago

Job description

Role : Senior Site Reliability Engineer (SRE) - Devops & Platform Focus

Location : Scottsdale AZ (100% Onsite)

Type: Contract

Key Responsibilities

  • Strong hands-on experience in Devops or SRE Roles
  • Strong hands-on experience on AWS cloud and infrastructure as code (Terraform preferably)
  • Design, deploy and operate containerized applications along with Kubernetes and container technologies (e.g., podman, docker) across on-Prem and cloud
  • Solid understanding of Linux systems, networking, and CI/CD
  • Integrate reliability checks, observability, and rollback mechanisms into deployment pipelines
  • Experience operating API gateways and shared platform services in production
  • Experience with monitoring and observability tools such as Splunk and Grafana
  • Collaborate closely with released focused stores and application teams to support end to end delivery
  • Apply SRE best practices to improve reliability, availability, scalability, and operational efficiency

Nice To Have

  • Python scripting for automation and platform tooling.
  • Knowledge or experience with Honeycomb for observability.
 
 
Thanks & Regards
Akhil
akhil@tror.ai