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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Integration Architect

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

Job Description

Join QuantumLeap Technologies at the forefront of 2026's technological revolution. We seek a visionary AI Integration Architect to design and implement next-generation AI systems that will redefine industries. As a key member of our Future Technologies Division, you'll architect scalable AI solutions, pioneer quantum-classical hybrid computing models, and drive innovation in autonomous systems. This role offers unparalleled opportunities to shape the technological landscape of tomorrow while working alongside world-class researchers and engineers in our state-of-the-art San Francisco headquarters.

Responsibilities

  • Design and deploy AI infrastructure compatible with 2026 quantum computing standards
  • Lead development of autonomous decision-making frameworks for next-gen robotics
  • Architect secure neural network protocols for cross-industrial data ecosystems
  • Optimize AI-human collaboration interfaces for enterprise environments
  • Pioneer federated learning systems for decentralized AI networks
  • Develop ethical AI governance frameworks for 2026 regulatory compliance
  • Mentor junior engineers on emerging AI paradigms and integration techniques

Qualifications

  • PhD in Computer Science/AI or equivalent with 8+ years of AI architecture experience
  • Expertise in quantum machine learning and hybrid computing architectures
  • Proven track record deploying enterprise-scale AI systems (TensorFlow/PyTorch)
  • Deep understanding of 2026 technology trends and regulatory landscape
  • Certification in AI ethics and responsible AI implementation
  • Published research in top-tier AI/quantum computing journals
  • Experience with autonomous system integration in regulated industries
  • Strong background in cross-functional AI-human collaboration design

Required Skills

AI Architecture Quantum Computing Autonomous Systems Neural Networks Federated Learning AI Ethics TensorFlow PyTorch

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