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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist Strategist

Horizon Dynamics
Austin
Estimated Salary
USD 140.000 – USD 190.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Shape the future as Horizon Dynamics' inaugural AI Futurist Strategist. We're seeking visionary pioneers to architect transformative solutions for 2026 and beyond. Join our elite innovation lab where quantum computing meets neural interfaces, and redefine human-machine collaboration. This role offers unparalleled access to emerging technologies while influencing global tech policy frameworks.

What You'll Achieve: Lead cross-disciplinary teams in developing predictive AI models for climate resilience, healthcare breakthroughs, and ethical governance systems. Present findings at global forums including the World Economic Forum and CES 2026.

Responsibilities

  • Architect AI roadmaps for 2026+ technological convergence scenarios
  • Lead R&D in quantum-neural hybrid computing systems
  • Develop ethical frameworks for autonomous decision-making algorithms
  • Partner with governments on AI policy innovation labs
  • Present future-tech insights to C-suite and board stakeholders
  • Manage $2M+ annual innovation budget for experimental projects
  • Co-author Horizon Dynamics' annual 'State of 2026 Tech' report

Qualifications

  • PhD in Computer Science, Cognitive Science, or Futurism with 5+ years applied AI experience
  • Proven track record in deploying large-scale ML systems (TensorFlow/PyTorch mastery)
  • Deep understanding of quantum computing principles and neural interface technologies
  • Published research in top-tier journals (Nature, Science, or IEEE) on AI ethics
  • Experience advising Fortune 500 executives on technology transformation
  • Proficiency in scenario planning tools (e.g., Causal AI modeling)
  • Security clearance eligibility preferred for government partnerships

Required Skills

Artificial Intelligence Quantum Computing Neural Interfaces Futurism Strategic Planning Ethical AI Machine Learning Policy Development Systems Architecture

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