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Information Technology 🏢 Full Time ⭐️ Verified

AI Systems Architect 2026

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we pioneer the next generation of AI systems. We seek a visionary AI Systems Architect to design and implement scalable, ethical, and transformative AI solutions that will redefine industries by 2026. This role offers the opportunity to shape the future of autonomous systems, quantum-enhanced machine learning, and human-AI collaboration.

Our ideal candidate thrives in ambiguity, embraces exponential technologies, and possesses a deep understanding of emerging AI paradigms. You will work alongside Nobel laureates and Silicon Valley pioneers to build the infrastructure that powers tomorrow's intelligent ecosystems.

Responsibilities

  • Architect quantum-resistant AI frameworks for enterprise-scale deployments
  • Design federated learning systems ensuring privacy-preserving data utilization
  • Develop neural-symbolic AI hybrids combining deep learning with symbolic reasoning
  • Lead implementation of autonomous decision systems with ethical guardrails
  • Create cross-modal AI architectures processing multimodal data streams
  • Optimize AI systems for edge-to-cloud deployment scenarios
  • Establish governance frameworks for AI lifecycle management

Qualifications

  • PhD in AI/ML or equivalent with 8+ years of systems architecture experience
  • Expertise in transformer architectures, diffusion models, and reinforcement learning
  • Proficiency in quantum computing principles (Qiskit, Cirq) and fault-tolerant systems
  • Published research in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Hands-on experience with neuromorphic computing and brain-computer interfaces
  • Strong background in AI ethics, fairness, and explainable AI frameworks
  • Architectural leadership in Kubernetes-based MLOps environments

Required Skills

AI Architecture Quantum Computing Federated Learning Neural-Symbolic AI Ethics MLOps Multimodal AI Quantum-Resistant Cryptography

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