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Information Technology 🏢 Full Time ⭐️ Verified

AI Systems Architect 2026

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join QuantumLeap Dynamics at the forefront of technological evolution as we redefine AI integration for 2026. We're seeking a visionary AI Systems Architect to architect next-generation neural frameworks that will power humanity's next decade of innovation. This role offers unparalleled opportunity to shape the future of artificial intelligence in a collaborative, cutting-edge environment.

Our San Francisco headquarters pulses with energy from world-class researchers and engineers pushing boundaries daily. You'll lead projects that merge quantum computing, biometric AI, and predictive analytics to solve humanity's most complex challenges. We offer competitive benefits, flexible work arrangements, and a culture that celebrates intellectual curiosity.

Responsibilities

  • Design and implement scalable AI architectures for 2026-era applications
  • Lead cross-functional teams in deploying hybrid quantum-classical ML systems
  • Develop ethical AI governance frameworks for autonomous decision-making
  • Architect neural networks with biometric and predictive capabilities
  • Optimize AI systems for real-time edge computing environments
  • Research and integrate emerging AI paradigms (e.g., neuromorphic computing)
  • Create documentation for AI system lifecycles and compliance standards

Qualifications

  • PhD or Master's in Computer Science/AI with 8+ years experience
  • Expertise in quantum computing frameworks (Qiskit, Cirq) and hybrid AI systems
  • Proven track record architecting production-scale ML pipelines
  • Deep knowledge of neural network optimization and edge computing
  • Strong background in AI ethics and regulatory compliance (GDPR, CCPA)
  • Experience with biometric AI integration and predictive modeling
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML)
  • Leadership experience managing cross-disciplinary technical teams

Required Skills

AI Architecture Quantum Computing Neural Networks Machine Learning Ethics Edge Computing Biometric AI Predictive Analytics Quantum ML System Design

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