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Information Technology 🏢 Full Time ⭐️ Verified

2026 AI Futurist Strategist

Nexus Horizons Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Horizons Inc. at the forefront of tomorrow's technological revolution. We're seeking a visionary 2026 AI Futurist Strategist to architect the next generation of human-AI symbiosis. This pivotal role demands a blend of deep technical acumen and forward-thinking innovation to shape our AI roadmap for the next decade.

As a key member of our Advanced Research Division, you'll collaborate with Nobel laureates and Silicon Valley pioneers to develop ethical AI frameworks that transcend current limitations. Your insights will directly influence how humanity coexists with artificial superintelligence by 2026.

Responsibilities

  • Architect strategic AI roadmaps for 2026+ human-AI integration paradigms
  • Lead cross-disciplinary research teams in quantum neural network development
  • Design ethical governance frameworks for autonomous decision-making systems
  • Partner with UN bodies on global AI policy standardization initiatives
  • Develop predictive models for technological singularity impact scenarios
  • Secure $50M+ in research grants for next-generation AI infrastructure
  • Author white papers on post-algorithmic economic systems

Qualifications

  • PhD in AI/ML or equivalent with 10+ years in predictive modeling
  • Published research on AGI alignment or quantum machine learning
  • Proven track record of scaling AI systems beyond current capabilities
  • Expertise in ethical AI frameworks (EU AI Act, NIST RMF)
  • Experience with neuromorphic computing and brain-computer interfaces
  • Strong network with DARPA, NSF, and international AI councils
  • Portfolio of deployed systems affecting >1M users

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Futurism Strategic Planning Ethical AI Neuromorphic Engineering Singularity Research Policy Development Predictive Modeling

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