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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Systems Architect

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

Job Description

Join QuantumLeap Dynamics as a 2026 AI Systems Architect and shape the future of intelligent automation. We're pioneering next-generation neural networks that will redefine industries by 2026. This role requires a visionary who can architect scalable AI ecosystems while solving complex computational challenges at the intersection of quantum computing and machine learning.

You'll lead the design of adaptive AI frameworks capable of self-optimizing in real-time environments, collaborating with Nobel laureates and industry disruptors. Our Austin-based innovation lab offers unmatched resources to transform theoretical concepts into market-ready solutions.

Responsibilities

  • Design quantum-enhanced AI architectures for autonomous systems
  • Develop predictive algorithms forecasting technological convergence points
  • Lead cross-disciplinary teams in implementing neuromorphic computing solutions
  • Architect ethical AI governance frameworks for 2026 regulatory landscapes
  • Optimize energy-efficient neural networks at petascale performance
  • Validate system resilience against quantum decryption threats
  • Prototype generative AI models for synthetic data creation

Qualifications

  • PhD in Quantum Computing, Machine Learning, or equivalent experience
  • 8+ years architecting enterprise-scale AI/ML systems
  • Published research in quantum machine learning or neuromorphic engineering
  • Expertise in TensorFlow Quantum, Cirq, or similar frameworks
  • Certification in AI Ethics (IEEE or ACM)
  • Proven track record of deploying models at >99.9% accuracy
  • Deep understanding of NIST AI Risk Management Framework
  • Experience with federated learning in decentralized networks

Required Skills

Quantum Computing Neural Networks AI Ethics TensorFlow Quantum Predictive Analytics Neuromorphic Engineering Federated Learning System Architecture

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