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Information Technology 🏢 Full Time ⭐️ Verified

AI Systems Architect 2026

QuantumLeap Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Shape the future of artificial intelligence as QuantumLeap Innovations seeks a visionary AI Systems Architect to design next-generation autonomous systems for 2026. Join our elite team of pioneers developing ethical, scalable AI solutions that will transform industries worldwide. This role offers unparalleled opportunities to work with quantum computing interfaces, neuromorphic processors, and decentralized AI networks.

We offer competitive compensation, equity packages, and flexible remote work options for exceptional candidates ready to redefine technological boundaries. If you're passionate about building AI systems that transcend current limitations, this is your moment.

Responsibilities

  • Design and implement quantum-resistant AI architectures for autonomous systems
  • Lead cross-functional teams in developing neuromorphic computing frameworks
  • Integrate blockchain-based AI governance protocols into production systems
  • Optimize machine learning models for edge computing and IoT ecosystems
  • Develop ethical AI auditing frameworks for regulatory compliance
  • Research and prototype next-generation AI-human collaboration interfaces
  • Document technical specifications and create implementation roadmaps

Qualifications

  • PhD in Computer Science/AI or 8+ years equivalent experience
  • Expertise in quantum machine learning and neuromorphic systems
  • Proficiency with TensorFlow/PyTorch and distributed computing frameworks
  • Deep understanding of ethical AI frameworks and regulatory landscapes
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML)
  • Experience with blockchain integration for AI model provenance
  • Strong background in edge computing and IoT security protocols

Required Skills

AI Architecture Quantum Computing Neuromorphic Systems Blockchain Ethics TensorFlow PyTorch Distributed Systems

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