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Ai Reliability Engineer Jobs in Arizona (NOW HIRING)

Wise Skulls

GenAI Engineer - SRE

Phoenix, AZ · On-site

$55.50 - $73.75/hr

GenAI Engineer - SRE Location: Phoenix, AZ Duration: 6+ months (possibility of extension ... The candidate will leverage Generative AI technologies, automation frameworks, and cloud-native ...

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Dimension Consulting

GenAI Engineer - SRE

Phoenix, AZ · On-site

$56.50 - $75.25/hr

GenAI Engineer - SRE Skill Needed - URGENT Location: Phoenix, AZ (Client Site - No Remote, No ... The candidate will leverage Generative AI technologies, automation frameworks, and cloud-native ...

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Dimension Consulting

GenAI Engineer - SRE

Phoenix, AZ · On-site

$56.50 - $75.25/hr

... , Platform Health, and Engineering Productivity initiatives ... The candidate will leverage Generative AI technologies, automation frameworks, and cloud-native ...

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IT-SCIENT

GenAI Engineer With SRE Skill Experience

Phoenix, AZ · On-site

$56.50 - $75.25/hr

The candidate will leverage Generative AI technologies, automation frameworks, and cloud-native ... The role requires close collaboration with SRE teams, platform engineering teams, application ...

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Wise Skulls Corp.

GenAI Engineer - SRE

Phoenix, AZ · On-site

$56.50 - $75.25/hr

GenAI Engineer - SRE Location: Phoenix, AZ Duration: 6+ months (possibility of extension) * 6 10 ... Hands-on with LLMs, GitHub Copilot, Devin AI, OpenAI/Azure OpenAI. * Experience building AI ...

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Apex Systems

Site Reliability Engineer III

Chandler, AZ · On-site

$65 - $70/hr

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

Basata

Site Reliability Engineer

Tempe, AZ · On-site

$54.50 - $72.50/hr

Site Reliability Engineer Full-Time | Tempe, AZ About Basata At Basata, we're rethinking the way ... Our AI-powered tools help automate the repetitive, time-consuming tasks that bog teams down, so ...

Apex Systems

Site Reliability Engineer III

Chandler, AZ · On-site

$58.25 - $77.25/hr

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 ...

Infosys Limited Digital

Site Reliability Architect

Phoenix, AZ · On-site

$56.50 - $75.25/hr

Job details Job Role Engineering Consultant 3 Career Role Senior Project Manager - Engineering - US ... Our team leverages advanced technologies such as AI, ML, and predictive analytics to drive ...

OmegaHires

SRE Consultant

Phoenix, AZ · On-site

SRE Consultant **Job Title: SRE Consultant** **Location: Phoenix** **Responsibilities ... and coordinate AI enablement throughout the process. - Coordinate/project management of select ...

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All JobsAi Reliability Engineer JobsAi Reliability Engineer Jobs in Arizona

Ai Reliability Engineer information

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 AI Reliability Engineers?

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 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

GenAI Engineer - SRE & Platform Reliability

Dimension Consulting

Phoenix, AZ • On-site

$56.50 - $75.25/hr

Other

Posted yesterday

Job description

  • Job Title: GenAI Engineer – SRE & Platform Reliability
  • Location: Phoenix, AZ
  • Work Model: Hybrid (4 Days Onsite – Monday to Thursday, Friday Remote)
  • Duration: 6* Months 
Job Summary
We are looking for a highly skilled GenAI Engineer to drive enterprise-scale Site Reliability Engineering (SRE), Platform Health, Observability, and Engineering Productivity initiatives. The ideal candidate will leverage Generative AI technologies, Large Language Models (LLMs), automation frameworks, and cloud-native tools to improve operational efficiency, reduce incidents, enhance platform reliability, and accelerate developer productivity.
Key Responsibilities
  • Implement AI-powered solutions using GitHub Copilot, Devin AI, OpenAI, Azure OpenAI, and AI agents.
  • Develop automation workflows for operational support, incident remediation, and platform health monitoring.
  • Build AI-driven solutions for:
  • Code remediation
  • Test case generation
  • Root cause analysis
  • Runbook creation
  • Knowledge management
  • Operational documentation
  • Partner with SRE and Platform Engineering teams to improve system reliability and reduce MTTR.
  • Design and enhance observability solutions across enterprise platforms.
  • Analyze logs, metrics, traces, and telemetry data using AI-driven approaches.
  • Develop Python-based automation and analytics solutions.
  • Create dashboards, reporting frameworks, and executive-level insights.
  • Drive adoption of AI technologies across development and operations teams.
Required Skills
  • Strong Python development and automation scripting experience
  • Generative AI, LLMs, AI Agents
  • GitHub Copilot, Devin AI, OpenAI or Azure OpenAI
  • REST APIs and automation frameworks
  • Git, GitHub, GitHub Actions, CI/CD Pipelines
  • Linux/Unix Administration
  • AWS, Azure, or Google Cloud Platform
  • Terraform and Infrastructure as Code (IaC)
  • Monitoring and observability tools:
  • Splunk
  • Dynatrace
  • Datadog
  • Grafana
  • Prometheus
  • New Relic
Required SRE Experience
  • Incident Management
  • Problem Management
  • Service Reliability Engineering (SRE)
  • Availability Management
  • Operational Excellence
  • Production Support
  • Observability and Monitoring
Preferred Qualifications
  • Experience implementing AI-powered engineering productivity solutions
  • Kubernetes, Docker, OpenShift, or cloud-native architectures
  • DevOps and Platform Engineering experience
  • Enterprise-scale platform modernization initiatives
  • Experience supporting large-scale cloud environments
Experience Required
  • 6+ years of overall IT experience
  • Strong background in SRE, DevOps, Platform Engineering, Automation, or Reliability Engineering
  • Hands-on experience implementing GenAI-based solutions

Apply