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Lead Architect: AGI & Neural Networks (2026 Focus)

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Are you ready to architect the future of intelligence?

Nexus Horizon Technologies is pioneering the next evolution of AI, specifically focusing on the convergence of Generative AI, Quantum Computing, and Human-Computer Interfaces for the year 2026 and beyond. We are seeking a visionary Lead Architect: AGI & Neural Networks to design the foundational frameworks that will redefine how humanity interacts with technology.

In this high-stakes role, you won't just be writing code; you will be defining the ethical, structural, and technological boundaries of our digital reality. If you possess an obsession with detail, a hunger for the impossible, and the technical prowess to execute it, we want to speak with you.

Responsibilities

  • Architect and design scalable, next-generation Neural Network architectures capable of processing real-time quantum data streams.
  • Lead the research and implementation of AGI (Artificial General Intelligence) safety protocols and alignment frameworks.
  • Collaborate with cross-functional teams to integrate bio-feedback sensors into our digital ecosystems.
  • Optimize deep learning models for edge computing environments in remote and high-latency zones.
  • Define the technical roadmap for our proprietary "Neural Bridge" technology.
  • Mentor senior engineers and foster a culture of innovation and ethical responsibility.
  • Conduct rigorous stress testing of AI systems under simulated 2026 load scenarios.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Computational Neuroscience, or a related field with a focus on AI.
  • 10+ years of experience in software architecture, specifically within Machine Learning and Deep Learning frameworks.
  • Extensive knowledge of Python, PyTorch, TensorFlow, and Rust.
  • Proven track record of deploying large-scale AI models into production environments.
  • Experience with Quantum algorithms and their practical application in classical computing constraints.
  • Strong understanding of data privacy, security, and the ethical implications of AGI.
  • Exceptional leadership skills with the ability to drive technical vision across distributed teams.

Required Skills

Python Machine Learning Deep Learning Neural Networks Quantum Computing System Architecture Rust PyTorch Cloud Infrastructure AI Ethics

Ready to Take This Challenge?

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