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AI Systems Architect 2026

Quantum Leap Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Quantum Leap Dynamics at the forefront of technological evolution. We're seeking visionary AI Systems Architects to design the next-generation intelligent systems that will reshape industries by 2026. This role offers unparalleled opportunity to architect breakthrough solutions in quantum-enhanced machine learning, autonomous decision frameworks, and human-AI symbiosis.

Our Austin hub operates at the intersection of neuroscience and artificial intelligence, offering a collaborative environment where your expertise will directly impact global innovation. We provide competitive equity packages, flexible hybrid work arrangements, and access to state-of-the-art research facilities.

Responsibilities

  • Design scalable AI architectures integrating quantum computing and neural interfaces
  • Lead development of autonomous decision systems for complex adaptive environments
  • Collaborate with neuroscientists to create brain-computer interface protocols
  • Develop ethical frameworks for human-AI symbiosis in 2026+ ecosystems
  • Architect real-time learning systems with predictive capabilities
  • Optimize AI models for edge deployment in decentralized networks
  • Present breakthrough architectures to C-suite and external stakeholders

Qualifications

  • PhD in Computer Science/AI or equivalent with 5+ years systems architecture experience
  • Expertise in quantum machine learning frameworks and neuromorphic computing
  • Proven track record designing autonomous systems with >99.99% reliability
  • Published research in top-tier AI/neuroscience journals (NeurIPS, Nature ML)
  • Fluency in PyTorch, TensorFlow Quantum, and distributed computing
  • Experience with ethical AI governance frameworks (IEEE 7000, EU AI Act)
  • Strong background in edge computing and 5G/6G integration

Required Skills

AI Architecture Quantum Computing Neural Interfaces Autonomous Systems Machine Learning Ethics Distributed Systems Edge Computing

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