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Information Technology 🏢 Full Time ⭐️ Verified

AI Systems Architect 2026

QuantumLeap Technologies
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 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. As a key innovator, you'll architect quantum-resistant neural networks and pioneer ethical AI governance protocols. Our Austin hub offers unparalleled resources to develop solutions for climate modeling, predictive healthcare, and decentralized economies.

Compete with the brightest minds while enjoying industry-leading benefits, flexible work arrangements, and a culture that celebrates intellectual curiosity. Help us build the intelligent infrastructure of tomorrow—today.

Responsibilities

  • Design scalable AI/ML architectures for 2026-era autonomous systems
  • Implement quantum-resistant neural networks and edge-computing frameworks
  • Develop ethical AI governance protocols aligned with emerging global standards
  • Lead cross-functional teams in prototyping predictive analytics solutions
  • Architect decentralized AI systems for secure data sovereignty
  • Optimize computational efficiency for real-time climate modeling applications
  • Research and integrate breakthrough technologies in neuromorphic computing

Qualifications

  • 8+ years in AI/ML architecture with 3+ years in quantum-resistant systems
  • Expertise in PyTorch/TensorFlow and distributed computing frameworks
  • PhD or equivalent in Computer Science/Engineering with published research
  • Certification in ethical AI governance (e.g., IEEE 7000 series)
  • Proven experience with edge-computing hardware (NVIDIA Jetson, Qualcomm Snapdragon)
  • Strong background in blockchain-based data validation systems
  • Demonstrated ability to lead technical strategy for Fortune 500 clients

Required Skills

AI Architecture Quantum Computing Neural Networks Ethics in AI Distributed Systems Edge Computing PyTorch TensorFlow

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