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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Lead Quantum AI Architect (Class of 2026)

Chronos Future Tech
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to architect the future of intelligence?

Chronos Future Tech is pioneering the next era of computing. We are seeking a visionary Lead Quantum AI Architect to spearhead our roadmap for 2026 and beyond. You will be at the forefront of merging classical machine learning with emerging quantum paradigms, creating systems that redefine what is possible.

In this high-impact role, you won't just write code; you will build the cognitive architecture of tomorrow.

Why Join Us?

  • Work on cutting-edge Quantum-Ready AI solutions.
  • Competitive equity package and performance bonuses.
  • Flexible remote-first culture with quarterly in-person innovation summits.
  • Opportunity to define the technical standards for the industry.

Responsibilities

  • Architect Next-Gen Systems: Design and implement scalable quantum-classical hybrid algorithms tailored for the 2026 technological landscape.
  • Research & Development: Lead R&D initiatives to explore novel neural network architectures compatible with current and future quantum processors.
  • Team Leadership: Mentor a team of elite data scientists and engineers, fostering a culture of innovation and continuous learning.
  • Strategic Roadmapping: Define the long-term technical roadmap for our AI infrastructure, ensuring alignment with business goals.
  • Performance Optimization: Oversee the optimization of model training pipelines and inference systems for massive datasets.
  • Stakeholder Communication: Translate complex technical concepts into compelling narratives for investors and executive stakeholders.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on AI/Quantum Computing.
  • Experience: 5+ years of professional experience in Machine Learning, Deep Learning, or AI architecture, with at least 2 years in a leadership or senior technical role.
  • Tech Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with quantum computing frameworks such as Qiskit or Cirq.
  • Problem Solving: Demonstrated ability to solve complex, open-ended technical challenges in high-pressure environments.
  • Communication: Exceptional written and verbal communication skills with the ability to present to diverse audiences.
  • Innovation: A track record of innovation and the ability to anticipate future trends in the AI and quantum computing space.

Required Skills

Quantum Computing Machine Learning Deep Learning Python PyTorch TensorFlow System Architecture R&D Leadership

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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