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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Systems Architect (Future Tech)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Nexus Horizon Labs is at the forefront of technological evolution, pioneering the infrastructure required for the next decade of AI advancement. We are seeking a visionary Senior AI Systems Architect to lead our engineering division.

In this pivotal role, you will architect scalable, high-performance systems designed for the technological landscape of 2026 and beyond. You will bridge the gap between theoretical machine learning models and production-grade infrastructure, ensuring our platforms are resilient, efficient, and ready for the future.

If you are passionate about pushing the boundaries of what is possible in artificial intelligence and system design, we want to hear from you.

Responsibilities

  • Architect and deploy scalable machine learning pipelines for next-gen predictive analytics.
  • Lead the research and implementation of novel algorithms to optimize system latency and throughput.
  • Collaborate with cross-functional teams to define technical strategy and roadmap for the 2026 product suite.
  • Ensure system security, compliance, and data integrity across global distributed networks.
  • Mentor junior engineers and foster a culture of innovation and technical excellence.
  • Optimize cloud infrastructure (AWS/GCP) to reduce operational costs while maximizing performance.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of professional experience in software engineering and system architecture.
  • Deep expertise in Python, C++, and modern data science stacks (PyTorch, TensorFlow).
  • Proven track record of designing high-availability systems handling petabyte-scale data.
  • Experience with Kubernetes, Docker, and microservices architecture.
  • Strong understanding of ethical AI practices and responsible deployment strategies.

Required Skills

Python C++ TensorFlow PyTorch Kubernetes AWS GCP Microservices Machine Learning System Architecture

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