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AI Futurist Lead - 2026 Vision

Horizon Dynamics Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Horizon Dynamics Inc. at the forefront of technological evolution as we architect the future of human-AI symbiosis. We seek a visionary AI Futurist Lead to spearhead our 2026 strategic initiatives, developing cutting-edge frameworks that will redefine industry standards. This role offers unparalleled opportunity to shape tomorrow's landscape while collaborating with Nobel laureates and industry pioneers in our state-of-the-art Quantum Neural Lab.

Compete for the chance to influence global AI policy, lead patent innovations, and mentor the next generation of thought leaders. Our comprehensive package includes equity grants, unlimited learning stipends, and flexible work arrangements designed for peak innovation.

Responsibilities

  • Design and implement 2026-ready AI governance frameworks ensuring ethical scalability
  • Lead cross-functional teams in developing quantum-resistant AI architectures
  • Present strategic roadmaps to C-suite executives and regulatory bodies
  • Drive patent development in explainable AI and neural-symbolic integration
  • Establish industry benchmarks for AI-human collaboration protocols
  • Mentor junior researchers through our Future Forward Fellowship program
  • Author white papers influencing global AI policy discourse

Qualifications

  • PhD in Computer Science/AI with 8+ years of research leadership
  • Proven track record in publishing at NeurIPS/ICML/AAAI
  • Expertise in transformer architectures and federated learning
  • Experience with quantum computing integration in AI systems
  • Certification in AI Ethics (e.g., IEEE Ethically Aligned Design)
  • Portfolio of deployed AI systems impacting 1M+ users
  • Ability to distill complex concepts for executive audiences

Required Skills

AI Research Machine Learning Quantum Computing Neural Networks Strategic Planning AI Ethics Patent Development Federated Learning

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