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AI Futurist Lead - 2026 Vision Architect

Nexus Future Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Future Technologies as the AI Futurist Lead to architect the technological landscape of 2026. We're seeking a visionary strategist to bridge cutting-edge AI capabilities with human-centric innovation. You'll shape our R&D roadmap, lead cross-disciplinary teams, and pioneer solutions that define the next generation of intelligent systems. This role combines technical depth with foresight, requiring you to anticipate societal shifts and translate them into actionable tech blueprints.

Our dynamic environment at our San Francisco campus offers unparalleled resources for experimentation and collaboration. You'll work alongside Nobel laureates and industry disruptors in state-of-the-art labs, with full budget autonomy for groundbreaking projects. This isn't just a jobβ€”it's your chance to rewrite the future of human-machine symbiosis.

Responsibilities

  • Develop and execute the 2026 AI innovation roadmap, aligning with global tech trends and societal needs
  • Lead a multidisciplinary team of AI researchers, ethicists, and futurists
  • Architect next-gen AI systems with quantum computing integration
  • Establish ethical frameworks for autonomous decision-making in critical infrastructure
  • Collaborate with government and private sector entities on policy-shaping initiatives
  • Drive patent development for proprietary AI-human interaction protocols
  • Present vision briefings to C-suite executives and industry thought leaders

Qualifications

  • PhD in AI, Computer Science, or Futurology with 10+ years of applied research
  • Proven track record in commercializing AI breakthroughs (3+ products at scale)
  • Expertise in quantum machine learning and neuromorphic computing
  • Published author in top-tier AI/ethics journals
  • Deep understanding of global tech policy and regulatory landscapes
  • Experience leading teams of 15+ technical professionals
  • Portfolio demonstrating work on human-AI symbiosis systems
  • Fluency in Python, TensorFlow, and emerging AI frameworks

Required Skills

Artificial Intelligence Quantum Computing Strategic Foresight Machine Learning Ethical AI Neuromorphic Engineering Policy Development Team Leadership

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