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Information Technology 🏢 Full Time ⭐️ Verified

AI Systems Architect 2026

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

Job Description

Join QuantumLeap Dynamics at the forefront of 2026's technological revolution. We seek an AI Systems Architect to design next-generation neural networks that will redefine human-machine interaction. In this pivotal role, you'll architect scalable AI frameworks for autonomous systems, predictive analytics platforms, and quantum-entangled neural networks. Our Austin innovation lab offers unparalleled resources to transform theoretical concepts into reality.

As part of our elite Future Vision Team, you'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges. We offer competitive equity packages, flexible hybrid work arrangements, and access to our state-of-the-art quantum computing infrastructure.

Responsibilities

  • Design and implement distributed AI systems with >99.99% uptime SLAs
  • Architect neural networks capable of real-time multimodal data processing
  • Develop quantum-resistant encryption protocols for AI data pipelines
  • Lead cross-functional teams in deploying edge-computing AI solutions
  • Optimize ML models for neuromorphic computing hardware
  • Create ethical AI governance frameworks aligned with 2026 regulatory standards
  • Pioneer human-AI symbiosis interfaces through biofeedback integration

Qualifications

  • PhD in Computer Science/AI with 5+ years industry experience
  • Expertise in federated learning and decentralized AI systems
  • Published research in quantum machine learning or neuromorphic computing
  • Proficiency in PyTorch/TensorFlow with C++ optimization
  • Experience with 5G/6G network architecture for AI deployment
  • Deep understanding of ethical AI bias mitigation techniques
  • Track record of deploying production-grade AI systems at scale
  • Strong background in computational neuroscience

Required Skills

AI Architecture Quantum Computing Neural Networks Distributed Systems Machine Learning Ethics in AI Neuromorphic Computing PyTorch TensorFlow C++

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