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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Systems Architect

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Shape the future as QuantumLeap Dynamics' inaugural 2026 AI Systems Architect. We're pioneering next-generation autonomous systems that will redefine industries by 2026. Join our elite team to design, deploy, and scale revolutionary AI infrastructure that powers tomorrow's smart cities, autonomous fleets, and quantum-enhanced machine learning models. This role offers unparalleled influence in building ethical, scalable AI frameworks while collaborating with Nobel laureates and Turing Award winners.

Your Impact: Lead the technical blueprint for 2026's most advanced AI ecosystems, ensuring security, scalability, and human-centric design. Drive innovation from concept to deployment while mentoring the next generation of AI visionaries.

Responsibilities

  • Architect end-to-end AI systems integrating quantum computing and edge computing paradigms
  • Design ethical AI frameworks aligned with 2026 global AI governance standards
  • Lead cross-functional teams in deploying AI solutions for Fortune 500 clients
  • Develop proprietary AI optimization algorithms for real-time decision-making systems
  • Establish industry benchmarks for AI model explainability and bias mitigation
  • Drive innovation in federated learning architectures across distributed networks
  • Present breakthrough research at global AI summits including NeurIPS and ICML

Qualifications

  • PhD in Computer Science/AI or equivalent with 8+ years of systems architecture experience
  • Expertise in quantum machine learning and neuromorphic computing
  • Proven track record deploying AI systems processing 10M+ transactions/sec
  • Published research in top-tier journals (Nature, Science, IEEE) on AI ethics
  • Fluency in Python, TensorFlow, PyTorch, and quantum programming frameworks
  • Experience with distributed AI systems across 3+ cloud platforms (AWS/Azure/GCP)
  • Strong background in AI safety and adversarial attack prevention methodologies

Required Skills

AI Systems Architecture Quantum Computing Machine Learning Ethical AI Distributed Systems TensorFlow PyTorch Cloud Computing

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