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Information Technology 🏢 Full Time ⭐️ Verified

AI Systems Architect 2026

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join QuantumLeap Dynamics at the forefront of technological evolution as we pioneer next-generation AI systems for 2026. We seek a visionary AI Systems Architect to design scalable, ethical, and transformative artificial intelligence frameworks that will redefine industries. This role demands a blend of deep technical expertise and strategic foresight to build solutions that anticipate future societal needs while maintaining uncompromising security standards.

Responsibilities

  • Architect next-gen AI/ML systems with quantum computing integration capabilities
  • Lead cross-functional teams in deploying ethical AI frameworks aligned with 2026 regulatory landscapes
  • Develop predictive models for autonomous system behavior in complex environments
  • Design federated learning architectures for secure multi-stakeholder data collaboration
  • Establish governance frameworks for AI system transparency and accountability
  • Research and prototype emergent technologies (neuromorphic computing, synthetic data generation)
  • Create technical roadmaps for AI system evolution through 2026-2030

Qualifications

  • PhD in Computer Science, AI, or related field with 8+ years experience
  • Expertise in distributed ML systems (TensorFlow, PyTorch, JAX) at enterprise scale
  • Published research in quantum machine learning or neuromorphic computing
  • Certification in AI ethics frameworks (e.g., IEEE 7000, EU AI Act compliance)
  • Proven track record of architecting systems processing >10 petabytes of data
  • Strong background in adversarial AI security and robustness testing
  • Experience with regulatory compliance for autonomous systems (FAA, FDA, ISO)
  • Demonstrated ability to translate technical concepts to C-suite audiences

Required Skills

AI Architecture Quantum Computing Machine Learning Ethics in AI Distributed Systems Predictive Modeling Neuromorphic Computing Data Governance

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