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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist & Innovation Strategist

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

Job Description

Join Nexus Horizon Labs at the forefront of technological evolution as we redefine human potential through AI-driven innovation. We seek a visionary AI Futurist to architect the digital landscape of 2026 and beyond. This pivotal role combines cutting-edge research with strategic foresight, transforming theoretical AI breakthroughs into tangible solutions that shape tomorrow's industries.

As a key member of our elite Future Architecture team, you'll collaborate with Nobel laureates, Silicon Valley pioneers, and global thought leaders to develop next-generation AI systems. Our state-of-the-art facility in San Francisco offers unparalleled resources including quantum computing clusters and neurosynaptic processors, enabling you to pioneer technologies that will redefine how humanity interacts with artificial intelligence.

Responsibilities

  • Architect AI roadmaps targeting 2026 market disruptions and societal transformations
  • Lead cross-functional R&D initiatives in generative AI, neural interfaces, and autonomous systems
  • Develop patent-pending algorithms for ethical AI governance and alignment frameworks
  • Strategize partnerships with Fortune 500 companies to implement future-ready AI ecosystems
  • Present breakthrough innovations at Davos, TED, and global tech summits
  • Mentor PhD candidates and publish research in Nature and Science journals

Qualifications

  • PhD in AI, Computer Science, or Cognitive Neuroscience with 5+ years industry experience
  • Published research in top-tier journals (NeurIPS, ICML, Science) on advanced ML architectures
  • Proven track record in deploying production AI systems with >99.9% reliability
  • Expertise in quantum machine learning and neuromorphic computing paradigms
  • Strategic consulting experience with C-suite executives at Fortune 100 companies
  • Deep understanding of AI ethics frameworks and regulatory landscapes (EU AI Act, US AI Bill of Rights)

Required Skills

AI Strategy Machine Learning Quantum Computing Neural Networks Future Forecasting Ethical AI Innovation Management Systems Architecture

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