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2026 AI Systems Architect

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

Job Description

Join QuantumLeap Technologies at the forefront of technological evolution as we build the AI infrastructure for 2026. We seek a visionary AI Systems Architect to design next-generation neural networks and quantum-integrated computing systems that will redefine industries.

In this pivotal role, you'll lead the development of self-optimizing AI frameworks, collaborate with Nobel laureates on quantum machine learning, and shape the ethical foundations of autonomous decision-making systems. Your work will directly impact how humanity interacts with artificial intelligence in the coming decade.

Responsibilities

  • Design and implement scalable AI architectures using transformer models and quantum neural networks
  • Lead cross-disciplinary teams of quantum physicists and ML engineers in building 2026-readiness systems
  • Develop ethical governance frameworks for autonomous decision-making algorithms
  • Create simulation environments for testing AI-human interaction protocols
  • Architect real-time learning systems capable of self-improvement through meta-learning
  • Collaborate with regulatory bodies on AI safety standards implementation
  • Pioneer neuromorphic computing integration with traditional cloud infrastructure

Qualifications

  • PhD in Computer Science, Quantum Physics, or related field with 10+ years experience
  • Published research in top-tier journals on quantum machine learning or neuromorphic computing
  • Expertise in PyTorch, TensorFlow, and quantum programming languages (Qiskit, Cirq)
  • Proven track record architecting systems at petabyte-scale data processing
  • Deep understanding of AGI safety protocols and ethical AI development
  • Experience with neuromorphic hardware (Intel Loihi, IBM TrueNorth)
  • Strong background in theoretical computer science and computational complexity

Required Skills

Quantum Computing Neural Networks Meta-Learning AI Ethics Neuromorphic Systems PyTorch Qiskit AGI Safety

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