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Lead Futurist AI Architect

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

Job Description

We are not just predicting the future; we are architecting it. Nexus Horizon Technologies is seeking a visionary Lead Futurist AI Architect to spearhead our R&D initiatives targeting the technological landscape of 2026 and beyond. In this role, you will bridge the gap between theoretical breakthroughs and practical application, designing scalable neural architectures that redefine human-machine interaction.

Why Join Us?

  • Work at the intersection of Generative AI and Quantum Computing.
  • Competitive equity package and top-tier benefits.
  • Flexible remote-first culture with a collaborative San Francisco hub.
  • Opportunity to shape the ethical standards of future AI systems.

Responsibilities

  • Architect Next-Gen Models: Design and implement cutting-edge deep learning architectures tailored for the 2026 computing era.
  • Hybrid Integration: Collaborate with quantum researchers to integrate hybrid quantum-classical algorithms into existing pipelines.
  • Scalability Engineering: Optimize model inference for edge devices and large-scale distributed cloud environments.
  • Strategic Roadmapping: Lead the technical strategy for AI product roadmaps, anticipating 2026 market shifts.
  • Mentorship: Cultivate a high-performance engineering culture and mentor junior data scientists and AI engineers.
  • Ethical AI: Implement robust safety protocols and bias mitigation strategies in all deployed models.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 5+ years of experience in machine learning engineering, with at least 2 years in a leadership role.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and C++.
  • Domain Knowledge: Deep understanding of transformer models, large language models (LLMs), and reinforcement learning.
  • Cloud Mastery: Proven track record of deploying AI solutions on AWS, GCP, or Azure.
  • Soft Skills: Exceptional communication skills and the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python PyTorch TensorFlow C++ Machine Learning Deep Learning Neural Networks Quantum Computing Cloud Architecture AWS GCP Leadership

Ready to Take This Challenge?

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