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Information Technology 🏢 Full Time ⭐️ Verified

AI Systems Architect - 2026 Vision

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join QuantumLeap Dynamics at the forefront of technological evolution as we build the AI infrastructure for 2026. We're seeking a visionary Systems Architect to design next-generation neural networks and quantum computing frameworks that will redefine human-machine collaboration. This role offers unparalleled opportunities to shape the digital landscape of tomorrow while working with Nobel Prize-winning researchers and industry pioneers. Our state-of-the-art lab in San Francisco features cutting-edge quantum processors and neural simulation environments where your innovations will come to life.

Responsibilities

  • Design and implement hybrid AI-quantum computing architectures for 2026 deployment
  • Lead cross-disciplinary teams to develop ethical AI governance frameworks
  • Architect scalable neural networks with real-time adaptation capabilities
  • Optimize quantum machine learning algorithms for enterprise applications
  • Develop predictive analytics models for autonomous system evolution
  • Collaborate with neuroscientists to create biologically-inspired AI systems
  • Document architectural blueprints for next-generation digital infrastructure

Qualifications

  • PhD in Computer Science, Quantum Physics, or related field with 5+ years experience
  • Expertise in quantum computing frameworks (Qiskit, Cirq, or similar)
  • Proven track record in designing large-scale distributed AI systems
  • Deep understanding of neural network optimization techniques
  • Familiarity with ethical AI development frameworks (EU AI Act, NIST RMF)
  • Strong background in predictive modeling and statistical analysis
  • Experience with high-performance computing environments
  • Published research in AI/quantum computing or related fields preferred

Required Skills

Quantum Computing AI Architecture Neural Networks Machine Learning Distributed Systems Predictive Analytics Ethical AI High-Performance Computing

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