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Information Technology 🏢 Full Time ⭐️ Verified

AI Systems Architect 2026

QuantumLeap Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join QuantumLeap Dynamics as we pioneer the next frontier of artificial intelligence. As an AI Systems Architect 2026, you'll design scalable, ethical AI frameworks that will redefine industries by 2026. Our Austin-based innovation hub offers unparalleled resources to build transformative solutions while maintaining human-centric values. You'll collaborate with Nobel laureates and industry disruptors in a culture that rewards bold thinking and technical excellence. This role includes competitive equity, unlimited learning stipends, and flexible work arrangements designed for peak performance.

Responsibilities

  • Architect end-to-end AI/ML systems with 99.99% uptime for global enterprise clients
  • Lead cross-functional teams in deploying quantum-resistant encryption protocols
  • Develop ethical AI governance frameworks aligned with 2026 regulatory standards
  • Optimize neural networks for edge computing and IoT ecosystems
  • Create predictive analytics models for climate tech and sustainability initiatives
  • Mentor junior engineers on next-gen AI paradigms (AGI safety, neuromorphic computing)
  • Drive innovation through quarterly tech sprints with $1M R&D budget

Qualifications

  • 10+ years in AI/ML architecture with 5+ years at FAANG-tier companies
  • PhD in Computer Science or equivalent breakthrough research portfolio
  • Expertise in federated learning and differential privacy frameworks
  • Published work on explainable AI or bias mitigation techniques
  • Proficiency in PyTorch, TensorFlow, and quantum computing SDKs
  • Proven track record of scaling AI systems to 100M+ user deployments
  • Strong background in NLP, computer vision, and reinforcement learning
  • Speaker at top-tier conferences (NeurIPS, ICML, or equivalent)

Required Skills

AI Architecture Machine Learning Quantum Computing Ethical AI Scalable Systems PyTorch TensorFlow Federated Learning NLP Computer Vision Reinforcement Learning

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