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Artificial Intelligence 🏒 Full Time ⭐️ Verified

AI Architect: Next-Gen Neural Systems (2026)

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to build the intelligence of tomorrow, today?

At Nexus Horizon Technologies, we are pioneering the infrastructure for the year 2026 and beyond. As the world accelerates toward the convergence of biological and digital cognition, we need a visionary AI Architect to lead our research into autonomous neural systems.

You won't just be writing code; you will be defining the architectural principles that will underpin the next generation of sentient computing. We offer a competitive compensation package, equity packages, and the opportunity to work with the brightest minds in the industry.

Why join us?

  • Work on cutting-edge projects that define the future of Artificial General Intelligence (AGI).
  • Access to state-of-the-art hardware, including quantum-accelerated processing units.
  • Competitive salary and performance-based bonuses.
  • Flexible remote and hybrid work policies.

Responsibilities

  • Design and implement scalable Deep Learning frameworks optimized for next-gen quantum-accelerated hardware.
  • Lead the research and development of Generative AI models with a focus on advanced reasoning and long-context memory preservation.
  • Architect robust data pipelines capable of ingesting and processing petabytes of multimodal data in real-time.
  • Collaborate with cross-functional teams of ethicists, safety researchers, and product designers to ensure AI alignment and responsible deployment.
  • Mentor junior engineers and conduct rigorous code reviews to maintain high technical standards.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or Computational Neuroscience.
  • Extensive experience with PyTorch, TensorFlow, and JAX, with a deep understanding of autograd mechanics.
  • Proven track record of publishing research in top-tier AI conferences (NeurIPS, ICML, ICLR).
  • Strong proficiency in C++ for high-performance computing and low-level optimization.
  • Experience with cloud-native architectures (Kubernetes, AWS SageMaker) and edge computing.

Required Skills

Python PyTorch TensorFlow JAX Deep Learning Machine Learning NLP Computer Vision Distributed Systems C++ Kubernetes AWS Edge Computing

Ready to Take This Challenge?

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