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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Infrastructure Architect (2026 Visionary)

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join the Architects of Tomorrow.

Apex Future Systems is pioneering the infrastructure required for the next generation of Artificial General Intelligence. We are seeking a visionary Senior AI Infrastructure Architect to lead our strategic roadmap towards 2026 and beyond. You will be responsible for designing scalable, secure, and high-performance computing environments that power cutting-edge AI models.

In this role, you won't just maintain systems; you will define the architectural standards for the future of technology. We offer a competitive salary, equity, and the opportunity to work on problems that define the industry.

Why You'll Love It:

  • Work on mission-critical AI infrastructure.
  • Competitive compensation package ($180k - $250k).
  • Remote-first culture with flexible hours.
  • Opportunity to shape the roadmap for 2026.

Responsibilities

  • Architect and implement high-availability, distributed computing systems for large-scale AI training and inference.
  • Lead the transition to next-generation hardware architectures, including GPU clusters and specialized AI accelerators.
  • Develop and enforce security protocols for proprietary data and model weights.
  • Collaborate with ML engineers to optimize model performance and reduce latency across cloud and edge environments.
  • Monitor system health and performance, implementing automated scaling solutions to handle dynamic workloads.
  • Drive technical strategy discussions to align infrastructure capabilities with business goals.

Qualifications

  • 10+ years of experience in systems engineering, DevOps, or Cloud Architecture.
  • Deep expertise in Linux internals, containerization (Docker/Kubernetes), and orchestration.
  • Strong proficiency in cloud platforms (AWS, GCP, or Azure) with a focus on compute services.
  • Experience with AI/ML frameworks (PyTorch, TensorFlow) and distributed training strategies.
  • Proven track record of managing large-scale infrastructure budgets and resource allocation.
  • Excellent problem-solving skills and ability to thrive in a fast-paced, innovative environment.

Required Skills

Python C++ Kubernetes Docker AWS GCP Linux TensorFlow PyTorch System Architecture Distributed Computing DevOps

Ready to Take This Challenge?

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