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Senior AI Architect | Project 2026

Quantum Horizon Labs
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

The Future of Intelligence is Here.

Quantum Horizon Labs is pioneering the next generation of artificial intelligence infrastructure. We are seeking a visionary Senior AI Architect to lead our Project 2026 initiative—a groundbreaking research program dedicated to developing autonomous quantum-ready neural networks. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, this is your opportunity to shape the future.

Why Join Us?

  • Work on cutting-edge technology that defines the next decade of computing.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with hubs in San Francisco and Austin.

Responsibilities

  • Architect Design: Lead the architectural design of scalable, fault-tolerant AI systems specifically engineered for the 2026 computing landscape.
  • R&D Leadership: Spearhead research into hybrid quantum-classical machine learning models and novel optimization algorithms.
  • Team Mentorship: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Performance Optimization: Continuously refine model latency and throughput to meet the rigorous demands of real-time autonomous decision-making.
  • Cross-Functional Collaboration: Partner with product managers and security experts to ensure ethical AI deployment and data privacy.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 7+ years of experience in designing large-scale machine learning systems (ML/AI), with a focus on deep learning frameworks.
  • Tech Stack: Proficiency in Python, TensorFlow, PyTorch, and C++ for high-performance computing.
  • Quantum Awareness: Demonstrated interest or experience in quantum computing concepts (Qiskit, Cirq) is highly desirable.
  • Problem Solving: Strong track record of solving complex engineering problems under tight deadlines in a fast-paced environment.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch C++ Quantum Computing System Design AI Architecture

Ready to Take This Challenge?

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