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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist

Horizon Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Horizon Innovations at the forefront of technological evolution as we prepare for 2026. We seek an AI Futurist to architect tomorrow's digital landscape today. This role blends cutting-edge AI research with strategic foresight, shaping how humanity interacts with intelligent systems in the coming decade. You'll lead cross-disciplinary initiatives, anticipate paradigm shifts, and deliver actionable insights that will redefine our industry.

Our ideal candidate thrives at the intersection of innovation and strategy, with a passion for transforming theoretical possibilities into tangible realities. If you're ready to build the future, apply now.

Responsibilities

  • Develop predictive AI models forecasting technological and societal trends through 2026
  • Lead strategic workshops mapping AI evolution paths for Fortune 500 clients
  • Author white papers on quantum-AI convergence and ethical autonomous systems
  • Collaborate with MIT and Stanford on next-gen human-AI symbiosis projects
  • Design ethical frameworks for AI governance in post-quantum computing era
  • Present foresight findings at Davos and World Economic Forum summits
  • Mentor a team of 5 futurist researchers and data scientists

Qualifications

  • PhD in AI, Cognitive Science, or Futurist Studies (or equivalent experience)
  • 10+ years in AI research with published papers at NeurIPS/ICML
  • Proven track record of forecasting tech adoption with 85%+ accuracy
  • Expertise in quantum machine learning and neuromorphic computing
  • Deep understanding of global AI policy and regulatory landscapes
  • Experience with scenario planning frameworks (e.g., Delphi, STEEP)
  • Exceptional communication skills for executive-level stakeholder engagement

Required Skills

AI Research Strategic Foresight Quantum Computing Ethical AI Policy Analysis Machine Learning Scenario Planning Data Science

Ready to Take This Challenge?

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