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AI Futurist Lead - 2026 Innovation Strategy

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
3 Juni 2026
Deadline
3 Jun 2027

Job Description

Shape the technological landscape of tomorrow as Nexus Horizon Labs' inaugural AI Futurist Lead. We're seeking a visionary strategist to architect our 2026 innovation roadmap, bridging emerging AI capabilities with human-centric design. Join our elite team redefining how artificial intelligence integrates with society, business, and sustainability. This hybrid-remote role offers unparalleled influence in defining next-gen tech paradigms while collaborating with Nobel laureates and industry pioneers.

Why Nexus Horizon Labs? We're a preeminent R&D consortium backed by Silicon Valley's most forward-thinking investors. Our work directly influences policy frameworks at the World Economic Forum and UN Technology Summits. Enjoy cutting-edge benefits including unlimited learning stipends, quarterly innovation retreats, and equity in breakthrough patents.

Responsibilities

  • Architect and execute the 2026 AI innovation strategy, forecasting technological convergence points across quantum computing, biotech, and neural interfaces
  • Lead cross-disciplinary task forces of PhD researchers to develop ethical AI frameworks for autonomous systems
  • Partner with Fortune 500 C-suite executives to integrate future-proof AI solutions into enterprise roadmaps
  • Author seminal white papers on AI's societal impact, presented at Davos and global tech summits
  • Drive $50M+ R&D portfolio allocation across emerging tech verticals
  • Mentor next-gen AI ethicists and strategists through our Horizon Fellowship program

Qualifications

  • PhD in Computer Science, Cognitive Science, or Futurism with 10+ years in AI/ML leadership
  • Published author in Nature, Science, or MIT Technology Review on AI ethics or future tech
  • Proven track record scaling AI initiatives at FAANG or equivalent innovation labs
  • Deep expertise in AGI safety frameworks and responsible AI governance
  • Fluency in Python, TensorFlow, and quantum computing architectures
  • Security clearance eligibility for government-level AI policy collaborations
  • Portfolio demonstrating strategic foresight with 5+ years of accurate tech trend predictions

Required Skills

Artificial Intelligence Strategic Foresight Quantum Computing Neural Networks Ethical AI Machine Learning Policy Development R&D Leadership

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