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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Systems Architect

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join QuantumLeap Technologies at the forefront of 2026's technological revolution. We're seeking visionary AI Systems Architects to design next-generation autonomous frameworks that will redefine industries. In this pivotal role, you'll architect quantum-resistant neural networks and pioneer human-AI symbiosis interfaces. Collaborate with Nobel laureates in our state-of-the-art San Francisco lab, where your innovations will directly impact trillions in global market value. Enjoy unparalleled benefits including equity, unlimited learning stipends, and flexible hybrid work arrangements.

Responsibilities

  • Architect quantum-resistant AI systems with 10+ Tbps processing capabilities
  • Design autonomous decision-making frameworks for real-world applications
  • Lead cross-functional teams in deploying neural-symbolic AI hybrids
  • Develop ethical AI governance protocols aligned with 2026 regulatory standards
  • Pioneer human-AI symbiosis interfaces using neuro-linguistic programming
  • Optimize edge-AI architectures for sub-1ms latency requirements
  • Contribute to 3 AI patent portfolios annually

Qualifications

  • PhD in AI/Computer Science or equivalent practical experience
  • 5+ years architecting production-grade neural networks
  • Expertise in quantum-resistant cryptography and post-quantum algorithms
  • Proficiency in PyTorch/TensorFlow with 99.9% model accuracy track record
  • Published research in top-tier AI conferences (NeurIPS/ICML)
  • Experience with neuromorphic computing architectures
  • Fluency in AI ethics frameworks (EU AI Act, NIST RMF)
  • Strong background in distributed systems at petabyte scale

Required Skills

Artificial Intelligence Quantum Computing Neural Networks Machine Learning PyTorch TensorFlow Cryptography Distributed Systems AI Ethics Neuromorphic Computing

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