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Futurist AI Architect - 2026 Vision Initiative | San Francisco, CA

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

Job Description

We are not just building the future; we are defining it. Join Nexus Horizon Labs as a Lead AI Architect for our exclusive 2026 Vision Initiative. In this role, you will spearhead the development of next-generation Artificial General Intelligence (AGI) systems designed to solve the most complex global challenges. This is a high-impact position for a visionary leader ready to push the boundaries of what is possible in 2026 and beyond.

Why Join Us?

  • Work on cutting-edge AGI research.
  • Competitive compensation with equity packages.
  • Flexible remote and hybrid work options.
  • Be at the forefront of the 2026 technological revolution.

We are looking for a rare combination of technical mastery and strategic foresight to lead our core research team.

Responsibilities

  • Architect the 2026 Roadmap: Design and implement the core infrastructure for our General AI systems, ensuring scalability and adaptability for future technological leaps.
  • Pioneer Neural Architectures: Develop novel deep learning models and neural networks that exceed current limitations in reasoning and autonomous decision-making.
  • Lead High-Performance Teams: Mentor and manage a team of elite data scientists and engineers, fostering a culture of innovation and excellence.
  • Ethical AI Governance: Establish frameworks for ethical AI alignment, ensuring our 2026 systems remain safe, transparent, and beneficial for humanity.
  • Cross-Functional Collaboration: Partner with product and engineering teams to translate high-level research concepts into deployable, real-world applications.
  • Publish and Influence: Contribute to top-tier academic journals and speak at industry conferences to shape the global conversation on AGI.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
  • Experience: Minimum of 8+ years of experience in machine learning engineering, with at least 3 years in a senior leadership or architectural role.
  • Technical Mastery: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems.
  • Research Background: Proven track record of publishing in top-tier venues (NeurIPS, ICML, ICLR) or contributing to open-source ML frameworks.
  • Strategic Vision: Demonstrated ability to think 5-10 years ahead, anticipating industry trends and technological disruptions.
  • Communication: Exceptional ability to communicate complex technical concepts to diverse audiences, from technical peers to executive stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python Deep Learning Neural Networks AGI NLP PyTorch Distributed Systems Research Leadership

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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