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Senior AI & Quantum Architect (2026 Vision)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are not just building software; we are architecting the digital reality of 2026. Nexus Horizon Labs is seeking a visionary Senior AI & Quantum Architect to lead the development of next-generation neural interfaces and predictive quantum algorithms. In this role, you will bridge the gap between theoretical physics and practical machine learning, ensuring our platforms remain at the forefront of technological advancement.

Join a team of elite engineers and data scientists dedicated to solving the most complex problems in scalability, ethics, and intelligence. If you have a passion for the future and the technical chops to build it, we want to hear from you.

Responsibilities

  • Design and architect scalable AI models capable of processing quantum-level data streams in real-time.
  • Lead the integration of Generative AI agents into core infrastructure, ensuring ethical bias mitigation and high-fidelity output.
  • Collaborate with cross-functional teams to define technical roadmaps for the 2026 product ecosystem.
  • Optimize existing neural networks for edge computing environments and low-latency quantum hardware.
  • Establish best practices for data security, transparency, and accountability in automated decision-making systems.
  • Conduct rigorous code reviews and mentor junior engineers in advanced Python and quantum computing frameworks.

Qualifications

  • Master’s degree or PhD in Computer Science, Physics, Mathematics, or a related field with a focus on Artificial Intelligence.
  • Minimum of 5+ years of professional experience in software engineering, with at least 2 years specializing in Machine Learning or Quantum Computing.
  • Deep proficiency in Python, PyTorch, TensorFlow, and quantum computing libraries such as Qiskit or Cirq.
  • Proven track record of deploying large-scale AI systems to production environments.
  • Strong understanding of neural networks, natural language processing (NLP), and reinforcement learning.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).

Required Skills

Python Machine Learning Quantum Computing PyTorch TensorFlow Neural Networks NLP AWS Docker Kubernetes

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