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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist & Innovation Strategist

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join Nexus Innovations as we redefine the future by 2026! We're seeking a visionary AI Futurist to architect our next-generation technology roadmap and drive innovation across emerging domains. In this pivotal role, you'll bridge the gap between today's breakthroughs and tomorrow's transformative possibilities, working with Fortune 500 partners to shape the AI landscape of the future.

Our ideal candidate thrives at the intersection of technology foresight and strategic execution, leveraging cutting-edge research to build solutions that solve humanity's most pressing challenges. You'll lead cross-functional teams in developing predictive AI models, ethical frameworks, and commercialization strategies for technologies that will define the next decade.

Responsibilities

  • Develop and implement 2026 technology roadmaps for AI, quantum computing, and biotech convergence
  • Lead scenario planning workshops to anticipate societal and market impacts of emerging technologies
  • Architect ethical AI governance frameworks for autonomous systems and neural interfaces
  • Partner with VCs and startups to identify and integrate disruptive innovations into our ecosystem
  • Present strategic foresight to C-suite executives and government innovation boards
  • Manage $10M+ R&D budgets for future-focused pilot programs
  • Publish white papers and thought leadership on 2030 technology trends

Qualifications

  • PhD in Computer Science, Cognitive Science, or Futurist Studies (or equivalent experience)
  • 10+ years in AI/ML development with 5+ years in strategic foresight roles
  • Proven track record of commercializing emerging technologies (e.g., generative AI, quantum)
  • Deep expertise in ethics frameworks for autonomous systems and AGI
  • Experience with scenario planning tools (e.g., Delphi method, horizon scanning)
  • Published research in top-tier AI/convergence journals or conferences
  • Strong network with DARPA, IEEE, and global innovation ecosystems

Required Skills

AI Machine Learning Strategic Foresight Quantum Computing Biotech Ethics Scenario Planning Innovation Management

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