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AI Systems Architect (2026 Vision)

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join QuantumLeap Dynamics at the forefront of technological revolution as we architect the AI systems that will define 2026. We're seeking a visionary AI Systems Architect to design and implement next-generation neural networks that will power autonomous ecosystems, quantum computing interfaces, and predictive human-machine symbiosis. This role offers unparalleled opportunity to shape humanity's digital future while working with Nobel laureates and industry pioneers in our state-of-the-art San Francisco headquarters.

Your mission involves creating scalable, ethical AI frameworks that bridge quantum computing capabilities with human cognition, ensuring our systems achieve AGI milestones by 2026. You'll lead a cross-disciplinary team of neuroscientists, quantum engineers, and computational linguists in building systems that don't just process dataβ€”but understand, adapt, and innovate.

Responsibilities

  • Design quantum-entangled neural networks for autonomous decision-making systems
  • Develop ethical AI governance frameworks compliant with 2026 global standards
  • Architect human-AI symbiosis interfaces using biometric feedback loops
  • Lead cross-functional teams in implementing AI-driven predictive analytics
  • Optimize quantum machine learning models for real-time processing
  • Define security protocols for AI systems operating in decentralized networks
  • Pioneer neuromorphic computing integration with traditional architectures

Qualifications

  • PhD in AI, Quantum Computing, or Computational Neuroscience with 5+ years industry experience
  • Published research in Nature/Science on quantum machine learning or AGI
  • Expertise in TensorFlow, PyTorch, and quantum programming frameworks (Qiskit, Cirq)
  • Proven track record of designing AI systems processing >10TB real-time data
  • Certification in Quantum AI Architecture (QAA) or equivalent
  • Deep understanding of ethical AI frameworks and bias mitigation techniques
  • Experience leading teams in ISO 26000-compliant tech environments

Required Skills

AI Architecture Quantum Computing Machine Learning Neural Networks Ethics in AI TensorFlow PyTorch Qiskit Computational Neuroscience Predictive Analytics Human-AI Interaction

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