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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Infrastructure Architect

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Are you ready to architect the systems that will define the next decade of intelligent computing? Nexus Future Systems is seeking a visionary 2026 AI Infrastructure Architect to lead our transition into the next generation of artificial general intelligence (AGI) and sustainable computing.

In this pivotal role, you won't just be maintaining legacy systems; you will be designing the robust, scalable, and secure backbone for our cutting-edge AI models. We are looking for a technologist who thrives on ambiguity and possesses the foresight to build infrastructure that is ready for the year 2026 and beyond.

Why Join Us?

  • Work at the forefront of the AI revolution.
  • Competitive compensation package ($180k - $250k).
  • Remote-first culture with hubs in San Francisco.
  • Access to state-of-the-art computing resources.

Responsibilities

  • Design and deploy scalable cloud infrastructure optimized for large-scale AI training and inference workloads.
  • Architect resilient, fault-tolerant systems capable of handling high-throughput data streams in real-time.
  • Collaborate with ML researchers to translate algorithmic needs into concrete infrastructure requirements.
  • Implement and maintain rigorous security protocols to protect sensitive AI models and proprietary data.
  • Lead technical strategy for hardware-software integration, ensuring efficiency and sustainability.
  • Mentor junior engineers and foster a culture of innovation and technical excellence.

Qualifications

  • 10+ years of experience in systems architecture, cloud computing, and software engineering.
  • Deep expertise in Python, Go, or Rust, with a strong understanding of containerization (Docker, Kubernetes).
  • Proven experience managing large-scale deployments on AWS, Azure, or Google Cloud Platform.
  • Strong background in high-performance computing (HPC) and distributed systems.
  • Experience with MLOps tools and CI/CD pipelines.
  • Excellent communication skills with the ability to bridge the gap between technical and non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python Kubernetes AWS System Architecture Cloud Computing MLOps Distributed Systems

Ready to Take This Challenge?

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