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Lead AI Architect | 2026 Quantum Initiative | San Francisco, CA

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

Job Description

Shape the Future of Intelligence

Nexus Horizon Labs is recruiting a visionary Lead AI Architect to spearhead the 2026 Initiative. This is a rare opportunity to architect the foundational neural infrastructure for the next decade of technological evolution. We are not just building models; we are defining the paradigm for how artificial intelligence interacts with quantum realities.

In this pivotal role, you will bridge the gap between theoretical quantum physics and practical machine learning applications. You will lead a world-class team of engineers in deploying scalable, high-performance AI systems that will power the future of our organization and the industry at large.

Responsibilities

  • Architect and design scalable machine learning models capable of handling petabyte-scale data streams.
  • Lead the integration of emerging quantum computing algorithms into classical AI workflows.
  • Establish industry-leading best practices for model deployment, monitoring, and A/B testing.
  • Collaborate closely with product managers and data scientists to define the technical roadmap for 2026.
  • Mentor senior engineers and foster a culture of innovation, technical excellence, and continuous learning.
  • Conduct rigorous research to identify and implement cutting-edge advancements in neural networks.

Qualifications

  • Master’s or Ph.D. in Computer Science, Physics, Mathematics, or a related quantitative field.
  • Proven experience (5+ years) leading AI/ML engineering teams on large-scale projects.
  • Expert proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • Strong foundational knowledge of quantum mechanics and quantum computing concepts.
  • Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.
  • Experience with major cloud providers (AWS, GCP, Azure) and containerization (Docker, Kubernetes).

Required Skills

Artificial Intelligence Machine Learning Python Quantum Computing TensorFlow System Design Cloud Architecture Leadership

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