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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist & Innovation Strategist

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Join Nexus Horizon Labs at the forefront of tomorrow's technological revolution. We're seeking an AI Futurist to architect the future of human-machine collaboration. In this visionary role, you'll pioneer breakthrough AI systems that redefine industries while ensuring ethical implementation. Our dynamic team in San Francisco combines neuroscience, quantum computing, and emergent AI to create solutions that don't just predict the future—they build it. If you're passionate about shaping how humanity evolves with technology, this is your calling.

Responsibilities

  • Design and implement next-generation AI frameworks for autonomous systems
  • Lead cross-disciplinary research teams in quantum-AI integration projects
  • Develop ethical governance protocols for advanced autonomous decision-making
  • Partner with Fortune 500 companies to deploy 2026-era AI solutions
  • Author thought leadership papers on human-AI symbiosis and neuromorphic computing
  • Drive innovation in generative AI models with real-time environmental adaptation
  • Architect AI systems that achieve AGI-level reasoning within ethical constraints

Qualifications

  • PhD in Computer Science, AI, or Cognitive Neuroscience with 5+ years industry experience
  • Proven expertise in transformer architectures and generative adversarial networks
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Deep understanding of quantum computing principles and their AI applications
  • Experience leading AI ethics frameworks for autonomous systems
  • Strong background in neuromorphic computing and brain-inspired AI
  • Portfolio demonstrating deployment of cutting-edge AI solutions in production

Required Skills

AI Ethics Quantum Computing Generative AI Neuromorphic Systems AGI Research Strategic Innovation Machine Learning

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