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AI Systems Architect - 2026 Vision

QuantumLeap Technologies
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join QuantumLeap Technologies at the forefront of technological evolution as we architect the AI systems that will define 2026. We're seeking a visionary AI Systems Architect to design and implement next-generation machine learning frameworks that will power our autonomous solutions. This role offers unparalleled opportunity to shape the future of human-AI collaboration in a rapidly evolving digital landscape.

As a key member of our innovation hub, you'll collaborate with Nobel Prize-winning researchers and industry pioneers to develop scalable AI architectures that solve humanity's most complex challenges. Our Austin campus features state-of-the-art quantum computing labs and neuro-interfaces where breakthroughs become reality.

Responsibilities

  • Design quantum-resistant AI architectures for 2026-era applications
  • Lead cross-functional teams in developing federated learning systems
  • Implement ethical AI governance frameworks ensuring bias mitigation
  • Architect hybrid neural-computing solutions for real-time decisioning
  • Optimize AI models for edge deployment across IoT ecosystems
  • Develop adaptive security protocols for AI-powered infrastructure
  • Drive innovation in explainable AI (XAI) methodologies

Qualifications

  • PhD in Computer Science/AI with 8+ years of systems architecture experience
  • Proven expertise in quantum machine learning and neuromorphic computing
  • Published research in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Proficiency in TensorFlow Quantum and PyTorch 3.0 frameworks
  • Experience with MLOps pipelines for trillion-parameter models
  • Certification in AI Ethics from IEEE or ACM
  • Portfolio demonstrating deployed AI systems serving 10M+ users
  • Fluency in Python, Rust, and quantum assembly languages

Required Skills

AI Architecture Quantum Computing Neural Networks MLOps TensorFlow Quantum PyTorch 3.0 Federated Learning Explainable AI AI Ethics

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