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Information Technology 🏢 Full Time ⭐️ Verified

AI Systems Architect 2026

Nexus Dynamics Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join Nexus Dynamics at the forefront of technological evolution as we pioneer AI systems for 2026 and beyond. We seek a visionary AI Systems Architect to design next-generation neural frameworks that will redefine human-machine interaction. This role offers unparalleled opportunity to shape the future of artificial intelligence in a collaborative, cutting-edge environment.

As a key member of our Quantum AI division, you'll lead the conceptualization and implementation of autonomous learning systems with 10x efficiency improvements. Your work will directly impact industries from healthcare to autonomous transportation, positioning Nexus Dynamics as the industry leader in 2026 technological landscapes.

Responsibilities

  • Architect scalable AI infrastructure supporting 1M+ concurrent neural operations
  • Design quantum-resistant algorithms for next-gen autonomous systems
  • Lead cross-functional teams in implementing federated learning frameworks
  • Develop ethical AI governance protocols for 2026 deployment standards
  • Optimize neural networks for edge computing and IoT ecosystems
  • Create predictive models for AI system evolution through 2030
  • Collaborate with research teams on neuromorphic computing integration

Qualifications

  • PhD in Computer Science, AI, or Quantum Computing (or equivalent experience)
  • 10+ years in AI architecture with 5+ years in quantum-resistant systems
  • Expertise in TensorFlow/PyTorch and distributed computing frameworks
  • Published research in neural network optimization or quantum AI
  • Proven track record deploying systems at 100M+ user scale
  • Deep understanding of ethical AI frameworks and regulatory landscapes
  • Experience with neuromorphic computing hardware (Intel Loihi, IBM TrueNorth)

Required Skills

AI Architecture Quantum Computing Neural Networks TensorFlow PyTorch Distributed Systems Neuromorphic Computing Ethical AI

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