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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Infrastructure Architect

Quantum Horizon Tech
San Francisco
Estimated Salary
USD 170.000 – USD 240.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are building the next generation of intelligent systems. Join Quantum Horizon Tech as a Senior AI Infrastructure Architect and help define the technology stack for the 2026 era. We are looking for a visionary engineer who can bridge the gap between cutting-edge AI research and robust, scalable production infrastructure. You will lead the architectural vision for our data centers and cloud environments, ensuring our systems are resilient, secure, and ready for the future of computing.

Responsibilities

  • Architect and deploy scalable machine learning pipelines and distributed computing clusters.
  • Optimize existing infrastructure to support high-volume inference and training workloads.
  • Collaborate with data scientists to integrate new models into the production environment.
  • Implement robust monitoring and observability solutions to ensure system stability.
  • Drive the adoption of MLOps practices to accelerate the delivery cycle.
  • Define security protocols and compliance standards for AI data handling.

Qualifications

  • Master’s degree in Computer Science, Engineering, or a related field (PhD preferred).
  • 10+ years of experience in software architecture, with at least 5 years in AI/ML infrastructure.
  • Expert proficiency in Python, PyTorch, TensorFlow, and C++.
  • Deep experience with Kubernetes, Docker, and cloud providers (AWS/GCP/Azure).
  • Strong background in high-availability systems and fault tolerance.
  • Excellent communication skills and the ability to mentor a team of engineers.

Required Skills

Python AI Machine Learning Kubernetes Cloud Architecture AWS MLOps PyTorch Docker System Design

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