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Information Technology 🏢 Full Time ⭐️ Verified

AI Systems Architect 2026

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 190.000 – USD 280.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer next-generation AI systems for 2026. We seek visionary AI Systems Architects to design scalable, ethical frameworks that will redefine industry standards. This role offers unparalleled opportunities to shape the future of autonomous decision-making systems while working with cutting-edge quantum computing interfaces.

Our team operates at the intersection of machine learning, quantum algorithms, and human-computer interaction. You'll collaborate with Nobel laureates and industry disruptors in an environment where innovation isn't just encouraged—it's expected. We offer competitive equity packages, flexible hybrid work arrangements, and access to our state-of-the-art Innovation Labs.

Responsibilities

  • Design quantum-resistant neural architectures for real-time data processing
  • Develop ethical AI governance frameworks aligned with 2026 regulatory standards
  • Lead cross-functional teams in implementing hybrid quantum-classical computing solutions
  • Architect federated learning systems across distributed quantum networks
  • Optimize AI-human collaboration interfaces using next-generation AR/VR technologies
  • Establish robust security protocols for AI-powered critical infrastructure
  • Pioneer explainable AI methodologies for high-stakes decision systems

Qualifications

  • PhD in Computer Science, Quantum Computing, or equivalent experience
  • 5+ years architecting production-grade AI systems at scale
  • Expertise in quantum machine learning frameworks (Qiskit, Cirq)
  • Published research in top-tier AI/quantum journals (NeurIPS, Nature Quantum)
  • Proficiency in implementing federated learning across distributed networks
  • Deep understanding of AI ethics frameworks and regulatory compliance
  • Experience with AR/VR interface design for human-AI collaboration
  • Track record of leading cross-disciplinary technical teams

Required Skills

Quantum Computing Machine Learning Neural Architecture AI Ethics Federated Learning Quantum Algorithms AR/VR Interfaces Explainable AI

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