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AI Futurist Strategist - 2026 Vision

Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Shape tomorrow's digital landscape as Horizon Labs seeks an AI Futurist Strategist to architect 2026's intelligent systems. Lead cross-functional teams in developing next-gen AI frameworks that redefine human-machine collaboration. You'll pioneer ethical AI governance models, quantum-resistant algorithms, and neuro-adaptive interfaces while publishing breakthrough research at premier conferences.

Join our innovation incubator where your vision becomes reality. Enjoy flexible hybrid work, unlimited learning stipends, and equity in a company valued at $2B+. We're not just building for today – we're engineering the sentient systems of 2026.

Responsibilities

  • Architect AI roadmaps for 2026-2030 integration with emerging tech (quantum computing, biometric interfaces)
  • Lead development of self-evolving neural networks with adaptive learning capabilities
  • Design ethical AI governance frameworks for autonomous decision-making systems
  • Collaborate with quantum computing teams to create hybrid AI-quantum algorithms
  • Publish 3+ research papers annually in top-tier AI ethics/neuroscience journals
  • Mentor junior researchers in next-gen ML paradigms (federated learning, neuromorphic computing)
  • Present strategic AI visions to C-suite and board members quarterly

Qualifications

  • PhD in AI, Cognitive Science, or Computational Neuroscience with 5+ years industry experience
  • Published research in Nature/Science AI ethics or human-machine symbiosis papers
  • Expertise in transformer architectures, federated learning, and quantum machine learning
  • Proven track record designing ethical AI frameworks for Fortune 500 companies
  • Deep knowledge of neuro-symbolic AI and brain-computer interface protocols
  • Experience with PyTorch Quantum, TensorFlow Quantum, or Cirq frameworks
  • Exceptional communication skills for translating complex AI concepts to non-technical stakeholders

Required Skills

AI Ethics Quantum Machine Learning Neuro-Adaptive Systems Federated Learning Transformer Architecture Neuro-Symbolic AI Brain-Computer Interfaces PyTorch Quantum Ethical AI Governance

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