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Associate Ai Infrastructure Engineer Jobs in Arizona

EQL Tech

Infrastructure Engineer

Phoenix, AZ · On-site

$125K - $175K/yr

You will work alongside top talent, including a founding engineer who did AI research at MILA and at Elon Musk's SpaceX school, a Head of Risk from Mercury, Stripe, and Circle, and a Payments ...

EQL Tech

Infrastructure Engineer

Phoenix, AZ

$125K - $175K/yr

You will work alongside top talent, including a founding engineer who did AI research at MILA and at Elon Musk's SpaceX school, a Head of Risk from Mercury, Stripe, and Circle, and a Payments ...

EQL Tech

Infrastructure Engineer

Phoenix, AZ · On-site

$125K - $175K/yr

You will work alongside top talent, including a founding engineer who did AI research at MILA and at Elon Musk's SpaceX school, a Head of Risk from Mercury, Stripe, and Circle, and a Payments ...

ASARCO LLC

Infrastructure Engineer

Marana, AZ · On-site

$94K - $124K/yr

The Infrastructure Systems Engineer is responsible for maintaining, optimizing, and ensuring the ... Azure Administrator Associate, VMware Certified Professional, CompTIA Server+). Required Experience:

Globe Telecom, Inc.

AI Cloud Engineer

Globe, AZ

$53 - $70.75/hr

Leverage Infrastructure as Code (e.g. Terraform, Helm) to ensure efficient, repeatable, and ... AWS Solutions Architect - Associate * GCP Associate Cloud Engineer * GCP Professional Cloud ...

Globe Telecom, Inc.

AI Cloud Engineer

Globe, AZ

$53 - $70.75/hr

Leverage Infrastructure as Code (e.g. Terraform, Helm) to ensure efficient, repeatable, and ... AWS Solutions Architect - Associate * GCP Associate Cloud Engineer * GCP Professional Cloud ...

Gemini

Senior Enterprise Infrastructure Engineer

Tempe, AZ · On-site

$103K - $141K/yr

Enterprise Infrastructure The Enterprise Infrastructure team owns the internal technology ecosystem ... Design and implement agentic AI workflows to augment IT operations, applying context engineering ...

Gemini

Senior Enterprise Infrastructure Engineer

Tempe, AZ · On-site

$103K - $141K/yr

Enterprise Infrastructure The Enterprise Infrastructure team owns the internal technology ecosystem ... Design and implement agentic AI workflows to augment IT operations, applying context engineering ...

Bank of America

Infrastructure Engineer Lead

Chandler, AZ

$105K - $138K/yr

Advances automation and AI-assisted operations to reduce manual effort, improve consistency, and ... Mentors and assists Infrastructure resources on infrastructure service along with application ...

Bank of America

Infrastructure Engineer Lead

Chandler, AZ · On-site

$105K - $138K/yr

Advances automation and AI-assisted operations to reduce manual effort, improve consistency, and ... Mentors and assists Infrastructure resources on infrastructure service along with application ...

Gemini

Senior Enterprise Infrastructure Engineer

Tempe, AZ · On-site

$105K - $143K/yr

... AI workflows to augment IT operations, applying context engineering principles to enable reliable, bounded automation and validations. Qualifications : Required : • 5+ years of progressive ...

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All JobsAssociate Ai Infrastructure Engineer JobsAssociate Ai Infrastructure Engineer Jobs in Arizona

Associate Ai Infrastructure Engineer information

What engineer makes $500,000 a year?

Senior AI infrastructure engineers or machine learning engineers with extensive experience, specialized skills, and advanced certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-demand industries or companies. These roles often require expertise in cloud platforms, distributed systems, and deep learning frameworks, along with leadership responsibilities and a strong track record of impactful projects.

How much do AI infrastructure engineers make?

AI infrastructure engineers typically earn between $90,000 and $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and machine learning tools can command higher salaries.

What is the difference between Associate Ai Infrastructure Engineer vs Data Engineer?

AspectAssociate Ai Infrastructure EngineerData Engineer
Required CredentialsBachelor's in CS, Engineering, or related field; familiarity with cloud platformsBachelor's in CS, Data Science, or related; strong programming skills
Work EnvironmentAI/ML teams, cloud environments, infrastructure setupData pipelines, database management, data processing systems
Employer & Industry UsageTech companies, AI startups, cloud service providersTech firms, finance, healthcare, data-driven industries

Associate Ai Infrastructure Engineers focus on building and maintaining AI infrastructure, while Data Engineers develop and manage data pipelines and databases. Both roles require technical skills and often collaborate, but their core responsibilities differ in infrastructure versus data processing.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as senior AI engineers, research directors, or chief AI officers, often requiring advanced skills in machine learning, deep learning, and data infrastructure. These roles usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses that contribute to the total compensation. Such salaries are rare and generally found in large tech companies or specialized AI firms.

What does an associate AI engineer do?

An associate AI engineer supports the development and deployment of artificial intelligence models and systems. They assist with data preprocessing, model training, testing, and optimization, often using tools like Python, TensorFlow, or PyTorch. This entry-level role typically requires foundational knowledge of machine learning concepts and programming skills.
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Associate Ai Infrastructure Engineer jobs near you
Network Engineer, AI Infrastructure Repair

Network Engineer, AI Infrastructure Repair

Meta

Mesa, AZ

$193K/yr

Full-time

Posted 11 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

135th of 209 rated software companies

Job description

Meta is building the next generation of AI infrastructure to power large-scale machine learning workloads, and the reliability of that infrastructure depends on reliable, high-performance network engineering. In this role, you will lead the strategy and execution for AI network repair and remediation programs, ensuring that the high-performance fabrics underpinning Meta's AI training and inference clusters remain operational, resilient, and optimized. You will drive cross-functional initiatives spanning network deployment, fault diagnosis, and repair automation across Meta's AI data center environments, shaping the systems and processes that keep AI infrastructure at scale.
Network Engineer, AI Infrastructure Repair Responsibilities:
  • Define and drive the long-term strategy for AI network repair and remediation programs across large-scale data center environments supporting machine learning workloads
  • Lead root cause analysis and resolution of complex network faults affecting high-performance AI training and inference fabrics, including RDMA, high-speed Ethernet, and optical interconnect layers
  • Develop and champion novel approaches to network fault detection, automated remediation, and repair workflow optimization for AI cluster infrastructure
  • Partner with hardware, software, and data center operations teams to align network repair programs with AI infrastructure deployment roadmaps and capacity plans
  • Establish and refine operational frameworks, runbooks, and tooling for network repair at scale, reducing mean time to repair across AI fabric environments
  • Identify systemic reliability risks in AI network infrastructure and drive cross-functional initiatives to address them before they impact production workloads
  • Influence the design of next-generation AI network architectures by contributing repair and reliability insights to hardware and topology decisions
  • Leverage AI-driven analytics and automation tools to redesign repair workflows, accelerating fault identification and resolution across distributed network environments
  • Build and maintain strategic relationships with internal engineering, operations, and vendor partners to ensure repair programs scale with AI infrastructure growth
  • Communicate program status, risk, and strategic recommendations to engineering leaders and cross-functional stakeholders through structured reporting and executive briefings

Minimum Qualifications:
  • Experience influencing technical direction and organizational strategy through data-driven analysis, written proposals, and stakeholder alignment across engineering and operations teams
  • Experience leading cross-functional programs that span network operations, hardware deployment, and infrastructure reliability at data center scale
  • Experience developing and driving strategy for network fault management, repair automation, or remediation programs in production environments
  • Experience designing, deploying, or operating high-speed network fabrics used in AI or machine learning infrastructure, including technologies such as RDMA over Converged Ethernet, InfiniBand, or high-density optical interconnects
  • 12+ years of experience in network engineering, with a focus on large-scale data center or high-performance computing network environments

Preferred Qualifications:
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience with network telemetry platforms, observability tooling, or AI-assisted anomaly detection applied to large-scale fabric environments
  • Experience building or scaling repair operations programs, including workforce planning, tooling development, and process standardization across multiple data center sites
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Track record of contributing to network hardware or topology design reviews, translating operational repair insights into upstream engineering improvements
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Familiarity with AI accelerator interconnect architectures and the network reliability requirements of distributed training workloads at hyperscale

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$193,000/year to $271,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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