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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Infrastructure Architect

QuantumLeap Systems
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Shape the technological landscape of tomorrow as QuantumLeap Systems seeks a visionary 2026 AI Infrastructure Architect. This pivotal role demands a pioneer who will design, implement, and optimize next-generation AI systems capable of autonomous decision-making and quantum-enhanced processing. You'll lead the architectural framework for our flagship 'Project Horizon' initiative, pushing the boundaries of computational intelligence while ensuring scalability, security, and ethical deployment. Join a team of Nobel laureates and Turing Award winners at the forefront of technological evolution.

Responsibilities

  • Design and implement quantum-integrated AI infrastructure supporting real-time autonomous systems
  • Architect fault-tolerant neural networks capable of 2026-era data processing demands
  • Develop ethical AI governance frameworks aligned with evolving global regulations
  • Lead cross-functional teams in deploying edge-computing solutions for distributed intelligence
  • Optimize hybrid quantum-classical computing architectures for enterprise-scale applications
  • Conduct research on emerging AI paradigms (e.g., neuromorphic computing, generative adversarial networks)
  • Establish performance benchmarks for next-generation AI system validation

Qualifications

  • PhD in Computer Science, Quantum Computing, or related field with 8+ years experience
  • Proven expertise in quantum machine learning algorithms and quantum-resistant cryptography
  • Deep understanding of 2026-era hardware accelerators (photonic processors, cryogenic CMOS)
  • Published research in top-tier AI/quantum journals (Nature, Science, NeurIPS)
  • Experience with federated learning frameworks for distributed AI systems
  • Strong background in ethical AI design and bias mitigation techniques
  • Proficiency in quantum programming languages (Q#, Quil) and high-performance computing environments

Required Skills

Quantum Computing AI Architecture Neural Networks Quantum Machine Learning Ethical AI Distributed Systems Quantum Cryptography High-Performance Computing

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