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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist Strategist

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

Job Description

Join Nexus Innovations as we pioneer the frontiers of 2026's technological landscape. We seek an visionary AI Futurist Strategist to architect transformative solutions that will redefine industries by the end of this decade. In this pivotal role, you'll leverage emerging AI paradigms to anticipate market shifts, design next-generation digital ecosystems, and guide our R&D initiatives toward commercially viable breakthroughs. You'll collaborate with quantum computing specialists, neuroscientists, and industry disruptors to develop ethical frameworks for autonomous systems while maintaining human-centric innovation.

Responsibilities

  • Develop strategic roadmaps for AI integration in 2026+ business ecosystems
  • Lead cross-functional teams in prototyping generative AI applications for enterprise clients
  • Conduct horizon scanning to identify emerging tech disruptors (quantum AI, synthetic biology interfaces)
  • Design ethical governance frameworks for autonomous decision systems
  • Present future scenarios to C-suite executives and investor coalitions
  • Author white papers on AI's societal impact for industry thought leadership

Qualifications

  • PhD in Computer Science, Cognitive Science, or Futurism (or equivalent experience)
  • 10+ years in AI/ML strategy with 3+ years in forward-looking tech planning
  • Published research on generative AI or human-computer symbiosis
  • Expertise in ethical AI frameworks (EU AI Act, NIST RMF compliance)
  • Experience with quantum computing algorithms or neuromorphic systems
  • Track record of scaling AI solutions from concept to market deployment
  • Fluency in strategic foresight methodologies (Delphi, scenario planning)

Required Skills

Artificial Intelligence Strategic Planning Generative AI Quantum Computing Ethical AI Future Studies Machine Learning Neuromorphic Systems

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