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From Home Ai Infrastructure Engineer Jobs (NOW HIRING)

... from the ground up. The team is seeking builders who want to be part of something massive ... AI Foundry is looking for AI Infrastructure Engineers to help build and operate large-scale GPU ...

As an AI Infrastructure Engineer at Together, you are responsible for keeping all user-facing ... Identify improvements for the product architecture from the reliability, performance and ...

AI Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

As an AI Infrastructure Engineer, you will be responsible for maintaining user-facing services and ... from the reliability, performance and availability perspectives • Plan the growth of Together AI ...

As an AI Infrastructure Engineer at Together, you are responsible for keeping all user-facing ... Identify improvements for the product architecture from the reliability, performance and ...

Senior AI Infrastructure Engineer

Wilmington, MA · Hybrid

$118K - $161K/yr

Senior AI Infrastructure Engineer, Developer Experience Analog Devices, Inc. (NASDAQ: ADI) is a ... Drive initiatives that reduce friction in the AI development lifecycle-from experimentation through ...

AI Infrastructure Engineer

Lake Mary, FL · On-site

$94K - $123K/yr

They are seeking an AI Infrastructure Engineer to support enterprise-grade NVIDIA AI infrastructure, automate operations, and maintain AI training and inference pipelines. Responsibilities : • Be ...

AI Infrastructure Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

... from existing energy infrastructure. For over a decade, we have applied AI to the electric grid ... The AI Infrastructure Engineer is responsible for designing, building, and owning the end-to-end ...

AI Infrastructure Engineer

Ann Arbor, MI · Remote

$170K - $210K/yr

... from existing energy infrastructure. For over a decade, we have applied AI to the electric grid ... The AI Infrastructure Engineer is responsible for designing, building, and owning the end-to-end ...

AI Infrastructure Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

... from existing energy infrastructure. For over a decade, we have applied AI to the electric grid ... The AI Infrastructure Engineer is responsible for designing, building, and owning the end-to-end ...

AI Infrastructure Engineer

Lake Mary, FL · On-site

$94K - $123K/yr

They are seeking an AI Infrastructure Engineer to support enterprise-grade NVIDIA AI infrastructure, automate operations, and maintain AI training and inference pipelines. Responsibilities : • Be ...

AI Infrastructure Engineer

New York, NY · On-site

$180K - $300K/yr

We care that industries that power the world (healthcare, manufacturing, energy) benefit from ... About the role We're hiring an AI Infrastructure Engineer to own the infrastructure, deployment ...

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

As an AI Infrastructure Engineer IV , you will play a critical role in designing, building, and maintaining the systems that power our AI and machine learning capabilities. You will ensure our ...

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

As an AI Infrastructure Engineer IV , you will play a critical role in designing, building, and maintaining the systems that power our AI and machine learning capabilities. You will ensure our ...

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From Home Ai Infrastructure Engineer information

See salary details

$46.5K

$127.1K

$182K

How much do from home ai infrastructure engineer jobs pay per year?

As of Jun 13, 2026, the average yearly pay for from home ai infrastructure engineer in the United States is $127,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $141,000.00 per year, depending on experience, location, and employer.

What is the difference between From Home Ai Infrastructure Engineer vs From Home Data Engineer?

AspectFrom Home Ai Infrastructure EngineerFrom Home Data Engineer
Required CredentialsBachelor's in Computer Science, AI, or related field; certifications in cloud platforms and AI toolsBachelor's in Computer Science, Data Science, or related; certifications in data management and cloud services
Work EnvironmentRemote, collaborating with AI development teams, cloud infrastructure managementRemote, working with data pipelines, databases, and analytics teams
Employer & Industry UsageTech companies, AI startups, cloud service providersData-driven companies, finance, healthcare, tech firms

From Home Ai Infrastructure Engineers focus on building and maintaining AI infrastructure, including cloud and hardware systems, while From Home Data Engineers primarily develop and manage data pipelines and storage solutions. Both roles require technical skills and often work remotely, but their core responsibilities differ in focus on AI systems versus data management.

What cities are hiring for From Home Ai Infrastructure Engineer jobs? Cities with the most From Home Ai Infrastructure Engineer job openings:
What are the most commonly searched types of Ai Infrastructure Engineer jobs? The most popular types of Ai Infrastructure Engineer jobs are:
What states have the most From Home Ai Infrastructure Engineer jobs? States with the most job openings for From Home Ai Infrastructure Engineer jobs include:

AI Infrastructure Engineer

AI Foundry

Seattle, WA

$200K - $325K/yr

Full-time

Medical, Dental, Retirement

Posted 24 days ago


Job description

Compensation: $200K - $325K+

Travel Requirement: International travel required to India 8+ times per year

Multiple Openings: We are hiring multiple AI Infrastructure Engineers across data center infrastructure teams. Exact level, scope, and team placement may vary based on experience and business needs.

AI Foundry is an AI building and consulting business working with some of the largest companies in the world. AI Foundry is partnered with a major global company operating across finance, consumer, and retail verticals, leading their AI efforts from the ground up.

The team is seeking builders who want to be part of something massive: designing and building multi-agent AI systems that will reshape how hundreds of millions of people interact with financial services, retail, insurance, and consumer products.

AI Foundry is looking for AI Infrastructure Engineers to help build and operate large-scale GPU infrastructure for training and inference workloads. This is hands-on systems work across Linux, networking, storage, orchestration, observability, and automation in a data center environment.

If you want to build the infrastructure foundation for serious AI workloads rather than operate a small lab cluster, we want to hear from you.

What You'll Do
  • Build, configure, and operate GPU cluster infrastructure for training and inference workloads.
  • Work across Linux systems, high-performance networking, storage, orchestration, monitoring, and automation.
  • Support provisioning, configuration management, job scheduling, workload management, and lifecycle operations.
  • Implement observability, alerting, incident response, and operational runbooks for infrastructure health.
  • Partner with hardware, facilities, vendors, and engineering teams to resolve performance, reliability, and capacity issues.
  • Automate repetitive operational tasks and improve the reliability of cluster operations.
  • Help evaluate hardware, networking, storage, and platform components for AI workloads.
  • Document systems clearly so global teams can operate and troubleshoot consistently.
  • Travel to India 8+ times per year to work directly with infrastructure and client teams.
Who You Are
  • You have strong Linux systems engineering experience and enjoy hands-on infrastructure work.
  • You understand GPU infrastructure or are deeply motivated to build expertise in NVIDIA systems, CUDA, NCCL, and distributed AI workloads.
  • You have experience with networking, storage, Kubernetes, Slurm, observability, automation, or related infrastructure tooling.
  • You can troubleshoot complex systems methodically and communicate what you are seeing.
  • You care about reliability, operational clarity, and repeatable systems.
  • You are comfortable working with incomplete information and learning quickly.
  • You can collaborate with infrastructure, facilities, vendor, and engineering teams across time zones.
  • You write useful documentation and runbooks.
  • You are energized by building greenfield infrastructure at serious scale.
  • You use AI and modern tools to improve how you build, debug, document, and operate systems.
How We Work

We are looking for people who use AI to raise the speed, quality, and ambition of the work while staying grounded in customers, teammates, and measurable outcomes.

  • We are hands-on with AI and technical tools, and we make ideas tangible through prototypes, clear artifacts, and working systems.
  • We move quickly, share work early, and keep refining until the product experience feels useful, polished, and memorable.
  • We focus on the hardest problems and the outcomes that matter, with the judgment to change course when the evidence points somewhere better.
  • We communicate clearly enough that teammates, leaders, and AI-assisted workflows can act on our thinking across time zones.
  • We collaborate with openness and respect, build on other people's ideas, and treat shared ownership as part of doing excellent work.
  • We speak up directly and constructively when something looks wrong, then commit fully once a decision is made.
Benefits & More
  • Medical and Dental benefits
  • 401K
  • Opportunity to shape AI strategy for 500M+ users