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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist & Strategic Innovation Lead

Nexus Horizon Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join Nexus Horizon Labs at the forefront of technological evolution as we architect the future landscape of 2026 and beyond. We're seeking an AI Futurist to pioneer breakthrough innovations that redefine human-machine collaboration, sustainable tech ecosystems, and immersive digital experiences. This role demands visionary thinking combined with actionable strategy to transform speculative concepts into market-ready paradigms.

Responsibilities

  • Develop and implement AI-driven foresight models predicting industry disruptions through 2030
  • Lead cross-functional teams in prototyping next-gen human-AI interfaces and neural interfaces
  • Architect quantum-resistant security frameworks for decentralized autonomous systems
  • Design ethical governance frameworks for AGI development and deployment
  • Establish strategic partnerships with academic institutions and quantum computing pioneers
  • Drive sustainability initiatives through AI-optimized resource allocation models
  • Present innovation roadmaps to C-suite executives and venture capital partners

Qualifications

  • PhD in AI, Computational Neuroscience, or Futurist Studies with 5+ years applied research
  • Proven track record in developing AI/ML models at scale (TensorFlow/PyTorch expertise)
  • Deep understanding of quantum computing principles and post-quantum cryptography
  • Published research in Nature/Science on human-AI symbiosis or emerging tech ethics
  • Experience with decentralized AI systems and blockchain-based verification
  • Portfolio of 3+ implemented futuristic technologies (neural interfaces, AGI prototypes, etc.)
  • Certification in Futurist Methodology (ACF or WFS equivalent)

Required Skills

AI/ML Quantum Computing Neural Interfaces Ethical AI Foresight Methodology Strategic Innovation Computational Neuroscience Decentralized Systems

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