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Contract 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 · 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 ...

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 II

Chandler, AZ

$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 ...

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 ...

American Express

Infrastructure Engineer III

Phoenix, AZ · On-site

$103K - $174K/yr

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

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

ML Infrastructure Engineer

Bright Vision Technologies

Phoenix, AZ • On-site, Remote

$150K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

ML Infrastructure Engineer - Remote 
 
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. 
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. 
 
Job Title: ML Infrastructure Engineer
Location: 100% Remote (U.S.) 
Position Type: Full-time, Direct W2 
Salary Range: $100,000–$150,000 Annually 
Experience Required: 6+ years 
 
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. 
 
Job Summary 
We are seeking an AI Infrastructure Engineer to design, build, and operate the platform layer that powers large-scale AI training and inference workloads. The role focuses on GPU clusters, distributed training frameworks, scheduling, storage performance, and developer experience for ML engineers and researchers, with strong emphasis on reliability, efficiency, and cost control. The ideal candidate has built or operated production AI infrastructure at scale, understands the interaction between hardware, kernel, scheduler, and ML framework, and brings strong software engineering discipline to platform work. 
Key Responsibilities 
  • Design and operate GPU and accelerator infrastructure for training and inference, spanning on-prem clusters, cloud-managed services, and hybrid configurations. 
  • Build scheduling, queueing, and resource-sharing systems that maximize accelerator utilization across many teams. 
  • Integrate frameworks such as PyTorch, JAX, DeepSpeed, FSDP, Megatron-LM, and Ray Train into a unified platform offering. 
  • Operate high-performance storage systems and data pipelines that keep accelerators fed with training data at near-line-rate. 
  • Design networking architectures supporting RDMA, InfiniBand, NCCL, and high-bandwidth collective communication. 
  • Build observability for AI workloads including utilization, throughput, training stability, and failure-mode analytics. 
  • Implement checkpointing, restart, and fault-tolerance patterns for long-running training jobs at scale. 
  • Drive cost optimization across compute, storage, and networking through scheduling, spot capacity, and right-sizing. 
  • Develop developer tooling and paved-road workflows that let researchers launch experiments safely and efficiently. 
  • Partner with research and applied ML teams to plan capacity for upcoming training runs. 
  • Implement security controls, isolation, and access management for multi-tenant AI infrastructure. 
  • Drive automation across cluster provisioning, lifecycle management, and configuration enforcement. 
  • Maintain runbooks, capacity dashboards, and operational documentation for the AI platform. 
  • Stay current with AI infrastructure research, accelerator hardware, and emerging open-source AI tooling. 
Required Qualifications 
  • Bachelor’s or Master’s degree in Computer Science or a related field. 
  • Six or more years of experience in infrastructure, platform, or HPC engineering. 
  • Hands-on experience operating GPU clusters or large-scale ML training infrastructure. 
  • Strong proficiency in Python and at least one systems language such as Go or C++. 
  • Deep understanding of distributed training, accelerator architectures, and collective communication. 
  • Experience with Kubernetes, Slurm, Ray, or similar scheduling systems for ML workloads. 
  • Strong understanding of Linux internals, networking, and high-performance storage. 
  • Experience with at least one major cloud provider’s ML infrastructure offerings. 
  • Strong software engineering practices including testing, CI/CD, and code review. 
  • Excellent communication and cross-functional collaboration skills. 
Preferred Qualifications 
  • Experience operating InfiniBand or RDMA networking at scale. 
  • Contributions to open-source ML infrastructure projects. 
  • Familiarity with custom orchestrators or research-grade training stacks. 
  • Exposure to frontier model training operations. 
  • Experience with FinOps for AI workloads. 
How to Apply 
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Jenny@bvteck.com or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
 

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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