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AI Horizon Lead Architect

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to architect the future of intelligence? Nexus Future Systems is seeking a visionary AI Horizon Lead Architect to spearhead the development of next-generation generative models for our 2026 roadmap.

In this role, you won't just write code; you will define the technical and ethical boundaries of sentient AI. You will lead a cross-functional team of quantum engineers and data scientists to build scalable, self-improving neural architectures that push the boundaries of possibility.

We offer a competitive compensation package, equity options, and the opportunity to work in a state-of-the-art facility dedicated to the advancement of humanity through technology.

Responsibilities

  • Design and implement state-of-the-art neural network architectures and generative models.
  • Lead the technical vision and strategic roadmap for AI development through 2026.
  • Ensure ethical standards, safety protocols, and bias mitigation in automated decision-making systems.
  • Collaborate with cloud infrastructure teams to deploy high-performance, low-latency AI solutions.
  • Conduct cutting-edge research on emerging AI paradigms, including neuromorphic computing and edge AI.
  • Mentor and guide junior engineers and data scientists to foster a culture of innovation.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Robotics, or a related field.
  • 10+ years of professional experience in machine learning, deep learning, or AI research.
  • Expert proficiency in Python, PyTorch, TensorFlow, and C++.
  • Extensive experience with Large Language Models (LLMs), Transformers, and reinforcement learning.
  • Strong background in distributed systems and high-performance computing clusters.
  • Proven track record of leading high-performance teams and delivering complex technical projects.

Required Skills

Artificial Intelligence Machine Learning Neural Networks Python PyTorch TensorFlow Cloud Computing Leadership Research Generative AI Neuromorphic Computing

Ready to Take This Challenge?

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