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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Infrastructure Architect (2026 Vision)

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

Job Description

Are you ready to architect the digital backbone of the future? Nexus Horizon Systems is seeking a visionary Senior AI Infrastructure Architect to lead our mission in scaling next-generation artificial intelligence.

In this pivotal role, you won't just maintain servers; you will build the resilient, high-performance ecosystems that power autonomous systems, generative models, and predictive analytics by 2026. We are looking for a technical leader who thrives in ambiguity and possesses the foresight to design systems that are scalable, secure, and future-proof.

Why Join Us?

  • Work on cutting-edge AI models that are redefining industry standards.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with premium health benefits.

Responsibilities

  • Architect and deploy scalable, high-availability AI infrastructure across cloud and edge networks.
  • Optimize MLOps pipelines and Kubernetes clusters for maximum throughput and minimal latency.
  • Collaborate with data science teams to translate research prototypes into production-grade systems.
  • Implement rigorous security, privacy, and compliance protocols for sensitive AI workloads.
  • Drive technical strategy for hardware-software integration (GPUs, TPUs, and specialized accelerators).
  • Lead incident response, disaster recovery planning, and system resilience initiatives.

Qualifications

  • 10+ years of experience in software engineering, DevOps, or Systems Architecture.
  • Deep expertise in Python, Go, or Rust with a focus on backend systems.
  • Proficiency with Kubernetes, Docker, and major cloud providers (AWS, GCP, or Azure).
  • Proven track record of scaling ML workloads to petabyte-scale.
  • Strong understanding of distributed systems theory, fault tolerance, and CAP theorem.
  • Master’s degree in Computer Science, Engineering, or a related technical field is a plus.

Required Skills

Kubernetes Python AWS MLOps Machine Learning Docker Cloud Architecture Distributed Systems Go Rust

Ready to Take This Challenge?

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