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Information Technology 🏢 Full Time ⭐️ Verified

AI Systems Architect 2026

QuantumLeap Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join the vanguard of technological evolution at QuantumLeap Innovations. We're seeking a visionary AI Systems Architect to design and implement next-generation autonomous frameworks for 2026. This role combines cutting-edge research with practical deployment, pushing the boundaries of human-machine collaboration. You'll lead cross-functional teams in developing adaptive neural networks that anticipate market shifts and drive exponential growth.

Our ideal candidate thrives at the intersection of theoretical innovation and scalable implementation. You'll architect systems that learn, adapt, and evolve in real-time, creating competitive advantages that redefine industry standards. This is your opportunity to shape the technological landscape of tomorrow.

Responsibilities

  • Design and implement adaptive AI architectures for predictive market analysis
  • Lead development of self-optimizing neural networks with autonomous decision-making capabilities
  • Architect quantum-resistant security protocols for distributed AI systems
  • Collaborate with research teams to prototype next-generation human-AI interfaces
  • Develop ethical frameworks for autonomous system governance and compliance
  • Optimize machine learning pipelines for real-time data processing at scale
  • Present technical roadmaps to C-suite executives and venture partners

Qualifications

  • PhD in Computer Science or equivalent with focus on quantum machine learning
  • 5+ years architecting production-grade AI systems with >10M user impact
  • Expertise in federated learning and decentralized AI infrastructure
  • Published research in top-tier journals on adaptive neural networks
  • Proficiency in PyTorch, TensorFlow, and quantum computing frameworks
  • Certification in AI governance frameworks (e.g., IEEE 7000™)
  • Experience leading teams through 2+ full AI product lifecycles

Required Skills

Quantum Computing Neural Networks Federated Learning AI Governance PyTorch TensorFlow System Architecture Predictive Analytics

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