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Information Technology 🏒 Full Time ⭐️ Verified

Advanced AI & Quantum Architect

Zai Frontier Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Are you ready to engineer the infrastructure of tomorrow? Zai Frontier Systems is pioneering the future of technology, and we are seeking a visionary Advanced AI & Quantum Architect to join our elite team in San Francisco.


In this pivotal role, you will design the neural frameworks and quantum algorithms that will define the landscape of 2026 and beyond. We are not just building software; we are orchestrating the next evolution of human-computer interaction, focusing on sustainable, scalable, and ethical artificial intelligence.


If you are passionate about pushing the boundaries of what is possible and want to work in a high-conversion environment that values innovation, apply today.

Responsibilities

  • Architect and deploy scalable neural network architectures for next-gen generative AI and machine learning models.
  • Integrate quantum computing protocols into cloud-native infrastructures to solve complex computational problems.
  • Lead architectural reviews and technical decision-making for high-stakes system implementations.
  • Collaborate with UX researchers to design seamless, intuitive brain-computer interface (BCI) prototypes.
  • Define and execute a technical roadmap for AI adoption, ensuring alignment with 2026 business goals.
  • Mentor a diverse team of engineers, fostering a culture of continuous learning and technical excellence.
  • Ensure all systems adhere to rigorous security standards and ethical AI guidelines.

Qualifications

  • Master’s or PhD in Computer Science, Physics, Applied Mathematics, or a related technical field (Machine Learning focus required).
  • 5+ years of professional experience in AI engineering, Deep Learning, or Quantum Computing.
  • Proficiency in Python, TensorFlow, PyTorch, and quantum computing frameworks like Qiskit or Cirq.
  • Strong understanding of distributed systems, microservices, and cloud-native architectures (AWS, Google Cloud).
  • Experience with Large Language Models (LLMs) and prompt engineering optimization.
  • Proven track record of leading cross-functional teams in a fast-paced, high-growth environment.
  • Excellent communication skills with the ability to translate complex technical concepts for non-technical stakeholders.

Required Skills

Artificial Intelligence Quantum Computing Machine Learning Python Deep Learning Cloud Architecture Leadership Neural Networks System Design

Ready to Take This Challenge?

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

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