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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
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer the next generation of AI systems for 2026. We seek a visionary AI Systems Architect to design transformative solutions that will redefine industries. This role demands strategic thinking, technical mastery, and a passion for building the future. Work in our state-of-the-art San Francisco hub alongside Nobel Prize-winning researchers and industry disruptors.

What You'll Accomplish: Lead end-to-end architecture for autonomous AI ecosystems, develop quantum-integrated machine learning frameworks, and create ethical AI governance protocols. Shape our 2026 roadmap while mentoring the next wave of innovators.

Responsibilities

  • Design scalable AI architectures integrating quantum computing and neural networks
  • Develop ethical AI governance frameworks for 2026 regulatory compliance
  • Lead cross-functional teams in implementing autonomous decision systems
  • Create predictive models for technological convergence scenarios
  • Architect human-AI collaboration interfaces for enterprise adoption
  • Research emerging paradigms in synthetic consciousness and AGI
  • Present strategic blueprints to C-suite and board stakeholders

Qualifications

  • PhD in Computer Science/AI with 8+ years systems architecture experience
  • Proven track record in deploying production-grade quantum-AI hybrids
  • Expertise in federated learning and distributed neural systems
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML)
  • Strong background in ethical AI frameworks and bias mitigation
  • Certification in quantum computing (IBM Qiskit or equivalent)
  • Experience with autonomous system deployment in regulated industries
  • Portfolio of 2026-focused AI architecture projects

Required Skills

Quantum Computing AI Architecture Neural Networks Machine Learning Ethics in AI Distributed Systems Predictive Modeling AGI Research

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