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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist & Innovation Strategist

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Join Nexus Innovations at the forefront of tomorrow's technological revolution. We're seeking a visionary AI Futurist to shape our 2026 roadmap and beyond. This role bridges cutting-edge AI research with practical business strategy, driving innovation that will redefine industries. You'll collaborate with world-class researchers, engineers, and executives to develop actionable blueprints for the next generation of intelligent systems.

Our ideal candidate thrives at the intersection of technology and human potential, possesses deep expertise in emerging AI paradigms, and can translate complex concepts into transformative business opportunities. This is a unique chance to influence the future while working in our state-of-the-art San Francisco headquarters.

Responsibilities

  • Develop strategic AI roadmaps for 2026+ product ecosystems
  • Lead cross-functional workshops to identify emerging AI opportunities
  • Conduct horizon scanning for breakthrough technologies (quantum AI, neuromorphic computing)
  • Partner with C-suite to align innovation with business objectives
  • Author thought leadership on AI ethics and societal impact
  • Build and mentor a team of future-focused researchers
  • Represent the company at global tech summits and conferences

Qualifications

  • PhD or equivalent experience in AI, Machine Learning, or Future Studies
  • 5+ years in strategic AI/tech innovation roles
  • Deep understanding of transformer architectures, generative AI, and AGI trajectories
  • Proven track record of translating research into market-ready innovations
  • Exceptional communication skills for technical and non-technical audiences
  • Published work in AI ethics or emerging technology policy
  • Experience with scenario planning and strategic foresight methodologies

Required Skills

Artificial Intelligence Machine Learning Strategic Planning Future Studies Generative AI Quantum Computing Ethics Innovation Management

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