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Senior AI Systems Architect | 2026 Horizon Initiative

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

Job Description

The Future is Being Written Now.

We are Nexus Horizon Systems, a premier think-tank and engineering firm pioneering the technological infrastructure for the year 2026 and beyond. We are looking for a visionary Senior AI Systems Architect to lead our Neural Backbone Initiative. If you possess an obsessive drive for perfection and want to architect the next generation of artificial general intelligence, this is your command center.

In this role, you will define the architectural standards for our proprietary quantum-classical hybrid systems. You will work at the intersection of theoretical mathematics and practical engineering, ensuring our solutions are scalable, ethical, and revolutionary.

Responsibilities

  • Design and implement high-performance distributed neural networks capable of processing exabytes of data in real-time.
  • Lead the research and development of proprietary Generative AI models tailored for autonomous industrial applications.
  • Collaborate with quantum computing specialists to integrate classical machine learning algorithms with quantum processors.
  • Establish strict architectural guidelines for system security, data privacy, and AI ethics compliance.
  • Mentor a team of elite software engineers and data scientists, fostering a culture of continuous innovation.
  • Optimize hardware-software co-design to maximize energy efficiency in cloud infrastructure.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Applied Mathematics, or a related quantitative field.
  • 10+ years of experience in machine learning, deep learning, or artificial intelligence engineering.
  • Expert proficiency in Python, C++, and CUDA programming languages.
  • Extensive experience with deep learning frameworks (PyTorch, TensorFlow, JAX) and cloud platforms (AWS, Azure, Google Cloud).
  • Proven track record of deploying large-scale AI systems in production environments.
  • Strong understanding of neural architecture search and model compression techniques.

Required Skills

Python C++ PyTorch TensorFlow Machine Learning Deep Learning Cloud Architecture Quantum Computing Distributed Systems Leadership

Ready to Take This Challenge?

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