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Ai Reliability Engineer Jobs in Arizona (NOW HIRING)

Senior Software Engineer

Chandler, AZ · On-site

$120K - $159K/yr

This role is responsible for ensuring the reliability, availability, and performance of critical ... In addition, you will help lead the adoption of Wells Fargo's AI-enabled tools and capabilities ...

We believe transformative AI should have a positive impact on people-powerful in capability, yet ... Shipping and running it reliably in production is owned by the SRE / Production squad - you partner ...

Sr. Software Engineer

Phoenix, AZ · On-site

$131K - $161K/yr

... reliability. Leveraging deep expertise in AWS-native architectures, distributed systems, and AI-assisted development practices, the Engineer designs observability solutions that are easy to adopt ...

Sr. Software Engineer

Phoenix, AZ · On-site

$121K - $160K/yr

... reliability. Leveraging deep expertise in AWS-native architectures, distributed systems, and AI-assisted development practices, the Engineer designs observability solutions that are easy to adopt ...

We believe transformative AI should have a positive impact on people-powerful in capability, yet ... Shipping and running it reliably in production is owned by the SRE / Production squad - you partner ...

Sr. Software Engineer

Phoenix, AZ · On-site

$121K - $160K/yr

... reliability. Leveraging deep expertise in AWS-native architectures, distributed systems, and AI-assisted development practices, the Engineer designs observability solutions that are easy to adopt ...

Monitor, troubleshoot, and optimize model performance and system reliability. Automate workflows ... DevOps, CloudOps, or ML Ops. 5 years experience with GCP AIML services (Vertex AI, AI Platform ...

Observability Operations Engineer Location: Phoenix, AZ (Hybrid) Duration: Temp - 12 months Pay ... Improve platform reliability through automation, self-healing, and AI-assisted operations. Required ...

Showing results 41-60

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 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 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 cities in Arizona are hiring for Ai Reliability Engineer jobs? Cities in Arizona with the most Ai Reliability Engineer job openings:

Senior Software Engineer

Wells Fargo

Chandler, AZ • On-site

$120K - $159K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 9 days ago


Wells Fargo rating

7.8

Company rating: 7.8 out of 10

Based on 707 frontline employees who took The Breakroom Quiz

89th of 170 rated banks


Job description

About this role:

Wells Fargo is seeking a Senior Software Engineer in our Platform Management Group as part of Consumer Technology. Learn more about the career areas and business divisions at wellsfargojobs.com.

The Consumer Technology (CT) Auto Finance Platform organization is seeking a Senior Site Reliability Engineer (SRE) to support our Servicing and Recovery product area. This role is responsible for ensuring the reliability, availability, and performance of critical production services through strong ownership of production operations, observability, incident response, and change management practices. In addition, you will help lead the adoption of Wells Fargo's AI-enabled tools and capabilities, identifying innovative ways to enhance operational support, streamline processes, and improve production outcomes. This position offers the opportunity to work at the intersection of reliability engineering, automation, and emerging technologies while partnering with teams across the organization to drive continuous improvement.
If you are passionate about operational excellence, technology innovation, and solving complex challenges at scale, this role provides a unique opportunity to make a significant and lasting impact on both the platform and the business.


In this role, you will:

  • Lead moderately complex initiatives and deliverables within technical domain environments

  • Contribute to large scale planning of strategies

  • Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments

  • Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures

  • Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements

  • Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals

  • Lead projects and act as an escalation point, provide guidance and direction to less experienced staff


Required Qualifications:

  • 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education


Desired Qualifications:

  • 3+ years experience troubleshooting and systems administration experience across multiple OS Platforms: Solaris, AIX, PKS, Kubernetes, OpenShift, Linux, Windows, VMware

  • 3+ years experience with web platforms: Tomcat, Weblogic, WebSphere

  • 2+ years experience with database technologies: SQL Server, Cassandra DB, Oracle, Postgres SQL, MongoDB

  • 3+ years experience with Observability tools: AppDynamics, Prometheus, Grafana

  • 3+ years experience using logging/monitoring tools: Elastic, Splunk, Netcool

  • 4+ years of software development experience with languages such as Perl, Python, Java, JavaScript, Ruby, JSON, Angular, NodeJS

  • 3+ years experience with Automation Scripting: Bash, Shell, Ansible, Terraform, Azure DevOps

  • 3+ year of experience with Cloud technologies: Pivotal, Azure, AWS, GCP, etc

  • 3+ years Incident Management experience

  • 2+ years experience using JIRA.

  • 1+ years experience with AIOPs tools: BigPanda etc

  • Experience with one or more CI/CD Pipeline (Github, Jenkins) and

  • Automation tools: Gradle, Maven, Git, Ansible, Puppet

  • Experience with AI Tools, Agentic Agents, Skills, MCP Servers, etc

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

$100,000.00 - $163,000.00

Benefits

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. VisitBenefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement

Posting End Date:

6 Aug 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visitDisability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.


What Wells Fargo employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Wells Fargo logo

About Wells Fargo

Sourced by ZipRecruiter

Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 trillion in assets, proudly serves one in three U.S. households and more than 10% of small businesses in the U.S., and is a leading middle market banking provider in the U.S. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 41 on Fortune's 2022 rankings of America's largest corporations. In the communities we serve, the company focuses its social impact on building a sustainable, inclusive future for all by supporting housing affordability, small business growth, financial health and a low-carbon economy.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1852

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