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Quantum AI Architect (2026 Roadmap)

Apex Horizon
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are building the foundational intelligence for the next era of humanity. As a Quantum AI Architect leading our 2026 Roadmap, you will not just write code; you will design the cognitive frameworks that will define the future of our organization. We are looking for a visionary engineer who understands the convergence of quantum computing and deep learning.

In this pivotal role, you will bridge the gap between theoretical research and scalable production systems, ensuring our infrastructure is ready for the computational demands of the Year 2026 and beyond.

Responsibilities

  • Define the 2026 Technical Roadmap: Lead the strategic vision for our AI infrastructure, identifying key milestones and technological breakthroughs required to achieve quantum supremacy by 2026.
  • Architect Hybrid Systems: Design and implement sophisticated hybrid neural networks that leverage both classical cloud computing and emerging quantum processors.
  • Lead High-Performance Teams: Mentor a team of elite machine learning engineers and data scientists, fostering a culture of innovation and rigorous technical excellence.
  • Ethical AI Governance: Establish and enforce protocols for responsible AI development, ensuring our 2026 systems align with global ethical standards and safety regulations.
  • Optimize Neural Interfaces: Improve the latency and throughput of our AI models, ensuring real-time decision-making capabilities for critical applications.

Qualifications

  • Advanced Education: PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related field, with a focus on Quantum Information Science.
  • Strategic Vision: Proven track record of architecting complex systems with a clear focus on future-proofing technology stacks (10+ years of experience).
  • Technical Mastery: Deep expertise in Python, TensorFlow, PyTorch, and experience with quantum computing libraries (e.g., Qiskit, Cirq).
  • Leadership: Demonstrated ability to lead cross-functional teams and drive technical strategy from conception to deployment.
  • Problem Solving: Exceptional analytical skills with the ability to navigate ambiguity and solve unstructured problems in real-time.

Required Skills

Quantum Computing Machine Learning AI Architecture Python TensorFlow Strategic Planning System Design Leadership

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