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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist & Innovation Strategist

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

Job Description

Join Nexus Innovations at the forefront of technological evolution. We're seeking a visionary AI Futurist to architect the next generation of intelligent systems that will redefine industries by 2026. This role blends cutting-edge research with strategic foresight to shape our product roadmap and market positioning.

You'll collaborate with elite engineers, data scientists, and executive leadership to develop AI frameworks that solve humanity's most pressing challenges. We offer unparalleled resources, a culture of radical innovation, and the opportunity to leave an indelible mark on the future of technology.

Responsibilities

  • Architect AI/ML roadmaps aligning with 2026 technological inflection points
  • Lead cross-functional R&D initiatives in quantum computing and neural interfaces
  • Conduct horizon scanning for emerging AI trends and disruptive technologies
  • Translate complex technical concepts into strategic business opportunities
  • Drive innovation workshops with C-suite executives and industry partners
  • Author thought leadership publications on AI ethics and governance
  • Mentor next-generation AI talent in our innovation lab

Qualifications

  • PhD in Computer Science, AI, or Futuristics with 8+ years industry experience
  • Proven track record in deploying production-level AI systems at scale
  • Deep expertise in transformer architectures, reinforcement learning, and generative AI
  • Published research in top-tier AI conferences (NeurIPS, ICML, etc.)
  • Strategic advisory experience with Fortune 500 companies
  • Proficiency in futurist methodologies (scenario planning, Delphi technique)
  • Exceptional communication skills for technical and non-technical stakeholders

Required Skills

AI/ML Quantum Computing Neural Interfaces Strategic Foresight Ethics Generative AI Reinforcement Learning Transformer Architectures Scenario Planning Research Leadership

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