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Information Technology 🏢 Full Time ⭐️ Verified

AI Systems Architect 2026

NeuraVision Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Shape the future of artificial intelligence as NeuraVision Labs seeks a visionary AI Systems Architect for our 2026 innovation roadmap. Join our elite team developing next-generation neural networks that redefine human-machine collaboration. This pivotal role demands strategic leadership in designing scalable AI infrastructures while ensuring ethical alignment and quantum-compatibility. You'll architect solutions that process exabytes of real-time data across distributed edge-cloud ecosystems, pioneering breakthroughs in autonomous decision-making systems.

Our Austin-based innovation hub offers unparalleled resources including quantum computing clusters, neuromorphic hardware labs, and collaborative workspaces with Nobel laureates. We provide comprehensive benefits including equity grants, wellness stipends, and professional development budgets for cutting-edge certifications.

Responsibilities

  • Design and implement quantum-resistant AI architectures processing 10+ petabytes daily
  • Lead cross-functional teams in developing federated learning systems across 100+ edge nodes
  • Establish ethical governance frameworks for autonomous decision-making protocols
  • Optimize neural network efficiency for neuromorphic and photonic computing environments
  • Architect zero-trust data pipelines with end-to-end encryption and differential privacy
  • Develop hybrid human-AI collaboration interfaces using AR/VR and haptic feedback
  • Create continuous learning systems with adaptive security protocols against adversarial attacks

Qualifications

  • PhD or equivalent in Computer Science/AI with 8+ years systems architecture experience
  • Expertise in distributed computing frameworks (Kubernetes, Ray, Spark) at petabyte scale
  • Published research in quantum machine learning or neuromorphic computing
  • Proficiency in low-latency optimization for edge-cloud hybrid architectures
  • Certification in AI ethics frameworks (IEEE, ACM) and data governance regulations
  • Experience with photonic computing hardware (Lightmatter, Luminous) or quantum processors
  • Portfolio demonstrating deployed AI systems processing >1M decisions/second
  • Strong background in adversarial machine learning and security hardening

Required Skills

Quantum Computing Neural Networks Distributed Systems AI Ethics Edge Computing Kubernetes Ray Neuromorphic Hardware Differential Privacy AR/VR Interfaces

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