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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Infrastructure Architect

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join QuantumLeap Technologies at the forefront of 2026's AI revolution. We're seeking a visionary AI Infrastructure Architect to design next-generation systems that will power humanity's most ambitious technological milestones. This role demands a blend of cutting-edge technical expertise and strategic foresight to build scalable, quantum-resistant AI frameworks for a post-2025 world.

Our ideal candidate will shape the computational backbone for autonomous systems, neural networks, and predictive analytics platforms that will redefine industries by 2026. You'll collaborate with Nobel laureates and industry pioneers to architect solutions for challenges we haven't yet identified.

Responsibilities

  • Design quantum-resistant AI infrastructure supporting 10M+ concurrent neural operations
  • Architect hybrid quantum-classical computing frameworks for 2026-era workloads
  • Lead implementation of autonomous system orchestration platforms
  • Develop predictive maintenance protocols for AI hardware lifecycle management
  • Create ethical AI governance frameworks for 2026 regulatory compliance
  • Mentor next-gen engineers in emerging AI paradigms

Qualifications

  • 15+ years in high-performance computing with 5+ years in AI infrastructure
  • Expertise in quantum computing architectures (Qiskit, Cirq)
  • Proven experience scaling AI systems to petabyte-scale datasets
  • Published research in Nature/Science on computational complexity
  • Fluency in emerging AI standards (IEEE 2026.1, ISO/IEC 23848)
  • Certification in Quantum Machine Learning (QML) from MIT
  • Demonstrated ability to forecast 5+ year technological trajectories

Required Skills

Quantum Computing AI Infrastructure Neural Architecture Search Predictive Analytics Quantum Machine Learning Ethical AI High-Performance Computing Future Tech Forecasting

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