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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist Strategist

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We seek an AI Futurist Strategist to architect tomorrow's intelligent ecosystems today. This visionary role bridges cutting-edge AI research with market foresight, driving innovation that redefines industries. You'll collaborate with Nobel laureates, lead cross-functional teams, and shape the ethical frameworks for autonomous systems. Enjoy unparalleled benefits including equity, flexible remote work, and dedicated innovation time. Your work will directly impact how humanity interacts with technology in the coming decade.

Responsibilities

  • Develop 5-year strategic roadmaps for AI implementation across healthcare, logistics, and energy sectors
  • Lead cross-disciplinary teams of quantum computing specialists and neuroscientists
  • Anticipate societal impacts of emerging technologies through predictive modeling
  • Design ethical governance frameworks for autonomous decision-making systems
  • Present future technology scenarios to C-suite executives and government bodies
  • Secure $50M+ in research grants for 2026-focused innovation initiatives

Qualifications

  • PhD in Computer Science, Cognitive Science, or related field with 8+ years AI experience
  • Proven track record in deploying large-scale ML systems at FAANG-level companies
  • Deep expertise in generative AI, neuromorphic computing, and ethical AI frameworks
  • Published research in top-tier journals (NeurIPS, Nature AI) on future technology paradigms
  • Experience presenting at Davos, TED, or equivalent high-impact forums
  • Fluency in at least two programming languages (Python, Rust, or equivalent)
  • Certification in Future Studies from recognized institutions (e.g., University of Houston)

Required Skills

Artificial Intelligence Machine Learning Strategic Planning Future Studies Quantum Computing Ethics Generative AI Neuromorphic Systems Predictive Modeling

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