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Contract Ai Infrastructure Engineer Jobs in Arizona

Accenture

AI & HPC Infrastructure Engineer

Scottsdale, AZ · On-site

$108K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Global AI Infrastructure team is at the center of enabling infrastructure reinvention for the next era of digital solutions powered by AI, accelerated computing, and high-performance workloads.

New

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 · 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 ...

Gemini

Senior Enterprise Infrastructure Engineer

Tempe, AZ · On-site

$105K - $143K/yr

  • Medical

  • Retirement

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

  • Medical

  • Retirement

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

$103K - $141K/yr

  • Medical

  • Retirement

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 II

Chandler, AZ · On-site

$105K - $138K/yr

Experience with DB2, Cockroach DB, Cassandra, OpenShift/Kubernetes, and AI-driven automation is a ... Infrastructure as Code (Terraform) * CI/CD and DevOps Automation (Jenkins, Bitbucket, JFrog ...

Bank of America

Infrastructure Engineer II

Chandler, AZ · On-site

$105K - $138K/yr

Experience with DB2, Cockroach DB, Cassandra, OpenShift/Kubernetes, and AI-driven automation is a ... Infrastructure as Code (Terraform) * CI/CD and DevOps Automation (Jenkins, Bitbucket, JFrog ...

Bank of America

Infrastructure Engineer Lead

Chandler, AZ · On-site

$100 - $130/hr

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

American Express

Infrastructure Engineer III

Phoenix, AZ · On-site

$103K - $174K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... AI). * Develop and maintain Grafana dashboards using Prometheus, Loki, InfluxDB, and other ... Collaborate with application, infrastructure, and SRE teams to improve monitoring coverage ...

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 ...

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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Contract Ai Infrastructure Engineer information

What is the difference between Contract Ai Infrastructure Engineer vs Contract Cloud Infrastructure Engineer?

AspectContract Ai Infrastructure EngineerContract Cloud Infrastructure Engineer
Required CredentialsRelevant certifications in AI, cloud platforms, and infrastructureCertifications in cloud platforms, networking, and systems administration
Work EnvironmentAI development labs, data centers, cloud environmentsCloud service providers, enterprise data centers, remote cloud setups
Employer & Industry UsageTech companies, AI startups, research institutionsIT firms, cloud service providers, large enterprises
Common Search & Comparison IntentUnderstanding roles in AI infrastructure projectsComparing cloud infrastructure roles and responsibilities

The Contract Ai Infrastructure Engineer focuses on building and maintaining AI-specific infrastructure, including GPU clusters and AI frameworks, often within AI-focused companies. In contrast, the Contract Cloud Infrastructure Engineer specializes in managing cloud environments, networks, and systems for various enterprise needs. Both roles require cloud and infrastructure knowledge but differ in their focus areas and industry applications.

How much do contract AI infrastructure engineers make?

Contract AI infrastructure engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and project scope. Rates can also be billed hourly, often ranging from $50 to $200 per hour, especially for specialized skills in cloud platforms, hardware, and AI frameworks.

What are the most commonly searched types of Ai Infrastructure Engineer jobs in Arizona?

The most popular types of Ai Infrastructure Engineer jobs in Arizona are:

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

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

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

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

What cities in Arizona are hiring for Contract Ai Infrastructure Engineer jobs?

Cities in Arizona with the most Contract Ai Infrastructure Engineer job openings:

Contract Ai Infrastructure Engineer jobs near you

Network Engineer, AI Infrastructure Repair

Meta

Chandler, AZ

$193K/yr

Full-time

Re-posted 12 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 244 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
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 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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