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AI Infrastructure Engineer

Seattle, WA

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

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