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AI Futurist Research Lead

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 175.000 – USD 275.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Horizon Labs at the forefront of tomorrow's innovation. We're seeking an AI Futurist Research Lead to architect the technological landscape of 2026 and beyond. This pivotal role combines cutting-edge artificial intelligence research with strategic foresight, shaping how humanity interacts with emerging technologies. You'll lead cross-disciplinary teams to develop predictive models, ethical frameworks, and commercial pathways for next-gen AI systems. Our culture values audacious thinking, intellectual rigor, and collaborative disruption. If you dream in algorithms and breathe innovation, this is your legacy-defining moment.

Responsibilities

  • Design and execute 5-year AI innovation roadmaps aligned with 2026 technological inflection points
  • Lead multidisciplinary research teams in developing generative AI systems for strategic foresight
  • Architect ethical governance frameworks for autonomous decision-making platforms
  • Pioneer quantum-entangled neural network architectures for predictive analytics
  • Collaborate with Fortune 500 partners to commercialize pre-2026 AI breakthroughs
  • Present findings at global tech summits and publish in top-tier AI journals
  • Mentor next-generation researchers in AI ethics and exponential technology forecasting

Qualifications

  • PhD in AI, Computer Science, or Futurism with 8+ years of research leadership
  • Published work in top-tier AI conferences (NeurIPS, ICML) or futurism journals
  • Expertise in generative adversarial networks and transformer architectures
  • Proven experience developing AI ethics frameworks for autonomous systems
  • Deep understanding of quantum computing applications in machine learning
  • Track record of commercializing AI research with Fortune 500 partners
  • Exceptional ability to translate complex technical concepts for executive audiences

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Strategic Foresight Generative AI Neural Networks Ethics Governance Predictive Analytics

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