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AI Futurist Strategist

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

Job Description

Join Nexus Horizon Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking an AI Futurist Strategist to architect transformative systems that bridge today's innovations with tomorrow's realities. This role blends deep technical expertise with visionary foresight to shape products that will redefine industries by 2026. You'll collaborate with Nobel laureates and Silicon Valley pioneers in an environment where your ideas become the next generation's standards.

Our work spans quantum computing interfaces, neural-ethical AI frameworks, and sustainable automation ecosystems. We offer unparalleled resources, flexible innovation time, and equity in ventures valued at $2B+. This isn't just a jobβ€”it's your chance to architect the future.

Responsibilities

  • Develop 5-year AI roadmaps aligning with 2026 technological inflection points
  • Architect neural-ethical frameworks for autonomous systems
  • Lead cross-disciplinary teams building quantum-AI hybrid solutions
  • Anticipate and mitigate existential risks from emerging technologies
  • Secure patents for breakthrough human-AI symbiosis interfaces
  • Advise C-suite on paradigm shifts in automation and consciousness studies
  • Pioneer carbon-negative AI compute methodologies

Qualifications

  • PhD in AI, Quantum Computing, or Futurology with 5+ years applied research
  • Published work on AGI safety or 2026+ technology forecasting
  • Expertise in neuromorphic computing and quantum machine learning
  • Proven track record of shipping disruptive AI systems
  • Deep understanding of ethical AI governance frameworks
  • Experience with large-scale LLM optimization and emergent behaviors
  • Portfolio of 2026+ technology foresight publications

Required Skills

AI Ethics Quantum Computing Futurology Neuromorphic Systems AGI Safety Technology Roadmapping Carbon-Negative AI Neural Interfaces

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