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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist & 2026 Innovation Lead

Nexus Horizons Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join Nexus Horizons Inc. at the forefront of tomorrow's landscape. We're seeking a visionary AI Futurist to architect our 2026 technology roadmap and pioneer next-generation solutions that redefine human-machine collaboration. This role blends strategic foresight with hands-on innovation, shaping how organizations navigate the exponential future.

You'll lead cross-disciplinary initiatives in quantum AI, neuro-symbolic computing, and ethical autonomous systems while mentoring our next-gen innovators. If you thrive at the intersection of technology and philosophy, this is your opportunity to build the future.

Responsibilities

  • Develop and execute the 2026 AI innovation strategy aligning with global tech trends
  • Lead research in quantum machine learning and ethical AI frameworks
  • Collaborate with C-suite executives to integrate future-ready solutions
  • Present visionary insights at industry conferences and publish white papers
  • Mentor cross-functional teams in emerging technologies and foresight methodologies
  • Design prototype systems for human-AI symbiosis applications
  • Establish partnerships with academic institutions and research labs

Qualifications

  • PhD in Computer Science, AI, or Futurism with 8+ years experience
  • Proven track record in quantum computing or advanced AI research
  • Expertise in ethical AI frameworks and responsible innovation principles
  • Exceptional strategic planning and scenario modeling capabilities
  • Strong background in publishing peer-reviewed research or industry reports
  • Experience leading cross-continental innovation teams
  • Proficiency in Python, TensorFlow, and quantum programming languages

Required Skills

AI Research Quantum Computing Strategic Foresight Ethical AI Machine Learning Neuro-Symbolic Systems Innovation Strategy TensorFlow

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