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Information Technology 🏢 Full Time ⭐️ Verified

AI Systems Architect 2026

QuantumLeap Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join QuantumLeap Dynamics at the forefront of technological evolution as we architect the AI infrastructure for 2026. We're seeking a visionary AI Systems Architect to design next-generation neural networks and quantum computing interfaces that will redefine industries. This role demands a blend of deep technical expertise and strategic foresight to build scalable, ethical AI systems that will power the next decade of innovation. You'll collaborate with Nobel laureates and Silicon Valley pioneers in our state-of-the-art Austin R&D hub.

Responsibilities

  • Design and implement quantum-resistant AI architectures for 2026-era applications
  • Lead cross-functional teams in developing ethical AI governance frameworks
  • Architect federated learning systems across distributed quantum networks
  • Optimize neural-symbolic AI models for real-time decision-making at scale
  • Develop next-gen AI safety protocols for autonomous systems
  • Create blueprints for human-AI symbiosis interfaces
  • Research and integrate emerging AI paradigms (e.g., neuromorphic computing)

Qualifications

  • PhD in Computer Science/AI or equivalent with 5+ years industry experience
  • Published research in top-tier AI/quantum computing journals
  • Expertise in transformer architectures, reinforcement learning, and quantum algorithms
  • Proficiency in Python, TensorFlow, PyTorch, and quantum programming frameworks
  • Deep understanding of ethical AI principles and regulatory compliance
  • Experience leading global R&D teams in agile environments
  • Track record of deploying production-grade AI systems at scale
  • Fluency in quantum computing principles and quantum error correction

Required Skills

AI Architecture Quantum Computing Neural Networks Ethics Reinforcement Learning TensorFlow PyTorch Quantum Algorithms Federated Learning

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