ZipRecruiter

Log In

1

Ai Infrastructure Jobs in Arizona (NOW HIRING)

Globe Telecom, Inc.

AI Cloud Engineer

Globe, AZ · On-site

$53 - $70.75/hr

Cloud Infrastructure & Automation * Design, deploy, and maintain scalable cloud infrastructure for AI workloads on the Cloud and On-Prem Infrastructure. * Leverage Infrastructure as Code (e.g.

YO AI Labs

AI/ML Engineer - Remote

Phoenix, AZ · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure.

YO AI Labs

Infrastructure Expert - Remote

Phoenix, AZ · Remote

$30 - $80/hr

Developer & Infrastructure Expert Role Type: Contractor Location: Remote Job Overview We are ... You will test AI-generated commands, configurations, and workflows and provide practical feedback ...

YO AI Labs

Mental Health Expert - Remote

Phoenix, AZ · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure.

American Express

AI Engineer III - Agentic AI

Phoenix, AZ · On-site

$103K - $174K/yr

Contribute to shared AI infrastructure such as LLM services, orchestration components, and evaluation or monitoring tooling. * Participate in operating AI systems in production, including monitoring ...

next page

Showing results 1-20

All JobsAi Infrastructure JobsAi Infrastructure Jobs in Arizona

Ai Infrastructure information

See Arizona salary details

$26

$55

$81

How much do ai infrastructure jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for ai infrastructure in Arizona is $55.15, according to ZipRecruiter salary data. Most workers in this role earn between $44.81 and $64.28 per hour, depending on experience, location, and employer.

What is AI infrastructure?

AI infrastructure refers to the combination of hardware, software, and cloud-based solutions that support the development, deployment, and scaling of artificial intelligence applications. It includes components such as GPUs, CPUs, storage systems, networking, data management tools, and machine learning frameworks. The goal of AI infrastructure is to provide the computational power and resources needed to train, test, and run AI models efficiently, whether on-premises or in the cloud. Organizations invest in robust AI infrastructure to accelerate innovation, manage large datasets, and ensure the reliability of their AI systems.

What are the key skills and qualifications needed to thrive in AI infrastructure?

To thrive in AI Infrastructure, you need expertise in software engineering, distributed systems, cloud platforms, and a solid understanding of machine learning workflows, often supported by degrees in computer science or related fields. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud services (AWS, GCP, Azure), as well as experience with CI/CD pipelines and monitoring systems, is essential. Strong problem-solving abilities, effective communication, and adaptability help professionals excel in cross-functional teams and rapidly evolving environments. These skills and qualities are crucial for building scalable, reliable systems that power AI applications and support organizational innovation.

What are common challenges faced by professionals working in AI infrastructure roles, and how can they be addressed?

Professionals in AI Infrastructure roles often encounter challenges related to scalability, system reliability, and integration with existing IT environments. Managing rapidly growing datasets and ensuring seamless deployment of machine learning models can be complex, requiring robust automation and monitoring tools. Collaboration with data scientists, software engineers, and DevOps teams is critical to ensure infrastructure meets the evolving needs of AI projects. Staying updated with the latest cloud technologies and best practices can help address these challenges and drive successful AI implementations.

What is the difference between Ai Infrastructure vs Data Engineer?

AspectAi InfrastructureData Engineer
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of cloud platforms and AI toolsBachelor's in CS, Data Science, or related; programming and database skills
Work EnvironmentCloud environments, AI model deployment, infrastructure setupData pipelines, database management, data processing
Employer & Industry UsageTech companies, AI startups, cloud providersTech firms, finance, healthcare, e-commerce

Ai Infrastructure professionals focus on building and maintaining the hardware and software systems that support AI models, while Data Engineers develop and manage data pipelines and databases. Both roles require technical skills and often collaborate but serve different core functions within AI and data ecosystems.

What are AI infrastructure jobs?

AI infrastructure jobs involve designing, building, and maintaining the hardware, software, and network systems necessary to support artificial intelligence applications. These roles often require knowledge of cloud computing, data centers, machine learning frameworks, and system optimization to ensure reliable and efficient AI model deployment and operation.

What are popular job titles related to Ai Infrastructure jobs in Arizona?

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

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

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

What cities in Arizona are hiring for Ai Infrastructure jobs?

Cities in Arizona with the most Ai Infrastructure job openings:

Ai Infrastructure jobs near you
Infographic showing various Ai Infrastructure job openings in Arizona as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, 2% Temporary, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $114,718 per year, or $55.2 per hour.

Artificial Intelligence Infrastructure Product Manager

Bank of America

Chandler, AZ

Full-time

Posted 2 days ago

New

Bank Of America rating

8.2

Company rating: 8.2 out of 10

Based on 535 frontline employees who took The Breakroom Quiz

52nd of 174 rated banks

Job description

Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Position Summary:

The Artificial Intelligence (AI) Infrastructure product manager role is responsible for maximizing the value of the Enterprise AI Infrastructure capabilities required to support the Bank's model development and model inferencing at scale. Job duties include setting the vision and roadmap for AI Infrastructure products, prioritizing the delivery, and effectively communicating to all partners. This role works closely with stakeholders to understand requirements and ensure alignment with the product priorities. The product manager is an expert in AI infrastructure, business or technologydomain, and the industry.

Key Responsibilities:

  • Product expert for AI infrastructure capabilities including both on premise and Cloud offerings
  • Define the vision and roadmap for the AI Infrastructure based on customer requirements, industry trends, regulations, and the strategic direction for the business or technology domain. Drive product selection, RFx, etc.
  • Ensure alignment across AI Infrastructure roadmaps to achieve portfolio objectives and support the financials and budget
  • Articulate roadmaps and features to Global Technology stakeholders and partners including CIO, Architecture & Engineering, Production Support and Information Security
  • Define and prioritize features/epics in the program book of work
  • Represent product(s) within AI Infrastructure to control partners, e.g., Finance, Audit/Risk, Lines of Business
  • Continuously oversee product inventory, performance, lifecycle and risk to ensure product health

Required Qualifications:

  • 10+ years of experience as an infrastructure engineer or product manager in a related infrastructure technology
  • 5+ years of experience working as a SME in a related infrastructure technology
  • AI Infrastructure architecture experience within a large corporation is preferred
  • Knowledge of key technologies including Nvidia AI platforms, RedHat AI portfolio or similar infrastructure platforms
  • Excellent written and oral communication skills including experience interacting with senior leadership and industry experts
  • Must have strong program management skills necessary to lead multi-discipline technology teams
  • Familiarity with general finance and accounting practices is preferable
  • Must have working experience in an Agile managed organization using products such as Jira & Confluence
  • Must be a highly motivated, self-directed individual capable of supporting multiple large initiatives

Desired Qualifications:

  • BA or BS in Computer Science, Information Security or AI
  • Participate in cross-functional teams and ability to work effectively in a geographically dispersed team

Skills:

  • Financial Management
  • Influence
  • Solution Delivery Process
  • Stakeholder Management
  • Technical Strategy Development
  • Agile Practices
  • Analytical Thinking
  • Collaboration
  • Result Orientation
  • Risk Management
  • Business Acumen
  • Business Case Analysis
  • Data Management
  • Solution Design
  • Vendor Management

Shift:

1st shift (United States of America)

Hours Per Week: 

40

What Bank Of America employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Bank Of America logo

About Bank Of America

Sourced by ZipRecruiter

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Social media

FacebookTwitter

View All Bank Of America Jobs

Apply