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Executive Ai Infrastructure Engineer Jobs (NOW HIRING)

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 ...

As an AI Infrastructure Engineer at Together, you are responsible for keeping all user-facing services and production systems running smoothly. You are a blend of a pragmatic operator and a software ...

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 production systems, implementing best practices for availability and scalability, and building ...

AI Infrastructure Engineer

San Francisco, CA · On-site

$190K - $270K/yr

As an AI Infrastructure Engineer at Together, you are responsible for keeping all user-facing services and production systems running smoothly. You are a blend of a pragmatic operator and a software ...

AI Infrastructure Engineer

Pleasanton, CA · Remote

$145K - $195K/yr

Overview The AI Infrastructure Engineer will be responsible for designing, deploying, and maintaining robust infrastructure systems tailored for AI and machine learning operations. This role focuses ...

AI Infrastructure Engineer

Sunnyvale, CA

$126K - $165K/yr

Founder and CEO Yuanming (Ethan) Hu earned his Ph.D. in graphics and AI from MIT, where he ... along with core engineering infrastructure. The team operates a conventional production ...

Senior AI Infrastructure Engineer

Wilmington, MA · Hybrid

$118K - $161K/yr

Senior AI Infrastructure Engineer, Developer Experience Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the ...

AI Infrastructure Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

The AI Infrastructure Engineer is responsible for designing, building, and owning the end-to-end infrastructure that serves Utilidata\'s AI and ML models across edge deployments, cloud environments ...

AI Infrastructure Engineer

Ann Arbor, MI · Remote

$170K - $210K/yr

The AI Infrastructure Engineer is responsible for designing, building, and owning the end-to-end infrastructure that serves Utilidata's AI and ML models across edge deployments, cloud environments ...

Senior AI Infrastructure Engineer

Wilmington, MA · On-site

$118K - $161K/yr

Senior AI Infrastructure Engineer, Developer Experience Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the ...

AI Infrastructure Engineer

Sunnyvale, CA · On-site

$125K - $164K/yr

The AI Infrastructure Engineer role involves ensuring the reliability and scalability of the AI model serving stack, while developing core engineering infrastructure to connect models to product ...

AI Infrastructure Engineer IV

Mendon, UT · On-site

$93K - $122K/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 ...

AI Infrastructure Engineer IV

Mendon, UT · On-site

$93K - $122K/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 ...

AI Infrastructure Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

The AI Infrastructure Engineer is responsible for designing, building, and owning the end-to-end infrastructure that serves Utilidata's AI and ML models across edge deployments, cloud environments ...

AI Infrastructure Engineer IV

Mendon, UT · On-site

$93K - $122K/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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Executive Ai Infrastructure Engineer information

See salary details

$46.5K

$127.1K

$182K

How much do executive ai infrastructure engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for executive 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 Executive Ai Infrastructure Engineer vs Data Engineer?

AspectExecutive Ai Infrastructure EngineerData Engineer
Required CredentialsBachelor's/Master's in Computer Science, AI, or related fields; certifications in cloud platforms and AI toolsBachelor's in Computer Science, Data Science, or related; certifications in data management and cloud platforms
Work EnvironmentDesigning and overseeing AI infrastructure, collaborating with AI teams, managing cloud resourcesBuilding data pipelines, managing databases, ensuring data quality and accessibility
Employer & Industry UsageTech companies, AI startups, enterprises deploying AI solutionsData-driven companies, analytics firms, tech organizations handling large datasets

The Executive Ai Infrastructure Engineer focuses on designing and managing AI-specific infrastructure, ensuring optimal performance for AI applications. In contrast, a Data Engineer primarily builds and maintains data pipelines and databases to support analytics and machine learning. Both roles require technical expertise and often collaborate, but their core responsibilities differ in scope and focus.

What cities are hiring for Executive Ai Infrastructure Engineer jobs? Cities with the most Executive 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 Executive Ai Infrastructure Engineer jobs? States with the most job openings for Executive Ai Infrastructure Engineer jobs include:

AI Infrastructure Engineer

AI Foundry

Seattle, WA

$200K - $325K/yr

Full-time

Medical, Dental, Retirement

Posted 19 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