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Information Technology 🏢 Full Time ⭐️ Verified

AI Systems Architect

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

Job Description

Join QuantumLeap Technologies at the forefront of 2026's technological revolution. We're seeking visionary AI Systems Architects to design and implement next-generation neural networks that will redefine human-machine collaboration. This role offers unparalleled opportunities to shape the future of artificial intelligence while working with industry pioneers in our state-of-the-art San Francisco headquarters.

As a key member of our Innovation Division, you'll develop scalable AI architectures that power breakthrough applications across quantum computing, biotech, and sustainable energy sectors. Our hybrid work environment combines collaborative studio spaces with flexible remote options, ensuring optimal productivity and work-life balance.

Responsibilities

  • Design and deploy enterprise-grade AI systems integrating quantum processors and neuromorphic computing
  • Lead cross-functional teams in developing ethical AI frameworks aligned with 2026 regulatory standards
  • Architect real-time neural networks processing petabytes of multi-sensory data streams
  • Optimize AI inference pipelines for edge-to-cloud computing environments
  • Develop proprietary algorithms for autonomous decision-making systems
  • Collaborate with quantum computing specialists to hybridize AI-quantum workflows
  • Contribute to patent filings for novel AI integration methodologies

Qualifications

  • PhD in Computer Science, AI, or Quantum Computing with 5+ years industry experience
  • Expertise in transformer architectures, federated learning, and generative adversarial networks
  • Proven track record deploying production AI systems processing >100TB daily data volumes
  • Proficiency in PyTorch, TensorFlow, and quantum programming frameworks (Qiskit, Cirq)
  • Familiarity with NIST AI Risk Management Framework and EU AI Act compliance protocols
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Experience leading AI teams of 10+ engineers in agile development environments

Required Skills

AI Architecture Quantum Computing Neural Networks PyTorch TensorFlow Federated Learning Generative AI Quantum Programming AI Ethics

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