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AI Futurist Strategist - 2026 Vision Lab

Nexus Horizons Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Nexus Horizons Inc. at the forefront of tomorrow's digital frontier. We're seeking a visionary AI Futurist Strategist to architect our 2026 roadmap and pioneer next-generation human-AI symbiosis. This role sits at the intersection of quantum computing, neural interfaces, and ethical AI governance, shaping how humanity will interact with intelligent systems in the coming decade.

You'll collaborate with Nobel laureates, lead cross-functional labs, and translate theoretical breakthroughs into market-ready paradigms. Our innovation hub offers unparalleled resources for research and development, with state-of-the-art quantum processors and neural simulation environments.

Responsibilities

  • Architect AI ethical frameworks and governance protocols for 2026 deployment
  • Lead quantum-AI fusion research initiatives in our 2040-compliant labs
  • Develop neuro-interface protocols for human-AI cognitive augmentation systems
  • Coordinate with UN AI Ethics Task Force on global standardization efforts
  • Translate theoretical AI models into enterprise-grade solutions for Fortune 100 partners
  • Present findings at Davos and World Economic Forum summits
  • Mentor PhD candidates in advanced machine learning consciousness studies

Qualifications

  • PhD in AI, Quantum Computing, or Cognitive Science with 5+ years industry experience
  • Published research in Nature/Science on AI ethics or quantum machine learning
  • Proficiency in Q# programming and quantum neural network architectures
  • Deep understanding of EU AI Act and global regulatory landscapes
  • Experience with human-AI co-design frameworks and neural interface protocols
  • Track record of deploying AI systems affecting >10M users
  • Fluency in predictive modeling for socio-technological paradigm shifts

Required Skills

Quantum Computing Neural Interfaces AI Ethics Predictive Modeling Q# Programming Human-AI Symbiosis Cognitive Augmentation Global AI Governance

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