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Lead Quantum AI Architect (2026 Roadmap)

Apex Horizon
San Francisco
Estimated Salary
USD 195.000 – USD 275.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

About Apex Horizon:
We are at the forefront of the technological singularity. As we prepare to define the landscape of 2026, we are seeking a visionary Lead Quantum AI Architect to spearhead our next-generation computing initiatives. You will not just be building systems; you will be architecting the future of intelligence.

The Role:
In this pivotal role, you will bridge the gap between theoretical quantum mechanics and practical, scalable artificial intelligence. You will lead a cross-functional team of physicists, data scientists, and engineers to deliver quantum solutions that solve problems currently deemed impossible by classical computers. If you are passionate about the intersection of quantum supremacy and machine learning, we want to hear from you.

Responsibilities

  • Strategic Roadmapping: Define and execute the technical roadmap for Quantum AI integration by 2026, aligning with Apex Horizon's long-term vision.
  • System Architecture: Design scalable, fault-tolerant quantum computing architectures capable of handling complex neural network training.
  • Algorithm Development: Develop and optimize quantum algorithms (QAOA, VQE) tailored for real-world business applications in finance and logistics.
  • Team Leadership: Mentor a high-performance team of quantum physicists and software engineers, fostering a culture of innovation and excellence.
  • Research & Innovation: Stay ahead of the curve on emerging quantum technologies, publishing papers and patents to establish Apex Horizon as a thought leader.
  • Collaboration: Partner with external research institutions and industry leaders to pilot cutting-edge quantum technologies.

Qualifications

  • Education: Ph.D. in Quantum Physics, Computer Science, or a related field with a focus on Quantum Information Science.
  • Experience: Minimum of 8+ years of experience in AI/ML, with at least 3 years of direct experience in quantum computing frameworks (e.g., Qiskit, Cirq, PyQuil).
  • Technical Skills: Proficiency in Python, C++, and TensorFlow/PyTorch; deep understanding of quantum gates, superposition, and entanglement.
  • Leadership: Proven track record of leading technical teams and managing complex R&D projects from conception to deployment.
  • Innovation: Strong ability to translate abstract theoretical concepts into practical, deployable software solutions.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and investors.

Required Skills

Quantum Computing Quantum Machine Learning (QML) Python C++ TensorFlow Qiskit Cirq Deep Learning Research System Architecture Leadership

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