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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist - 2026 Visionary

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

Job Description

Join Nexus Innovations at the forefront of technological evolution as we architect the future for 2026. We're seeking an AI Futurist to shape our strategic roadmap through cutting-edge research and visionary thinking. You'll lead initiatives in quantum computing integration, ethical AI frameworks, and human-machine symbiosis, directly influencing products that will redefine industries. This role combines deep technical expertise with strategic foresight in an environment that thrives on innovation and impact.

Responsibilities

  • Develop 5-year AI technology roadmaps aligned with emerging market trends
  • Lead cross-functional teams in prototyping next-gen AI systems for 2026 deployment
  • Establish ethical governance frameworks for autonomous decision-making systems
  • Conduct horizon scanning to identify breakthrough technologies with disruptive potential
  • Collaborate with policymakers on regulatory frameworks for advanced AI systems
  • Author thought leadership papers on AI's societal impact and future-proofing strategies
  • Mentor junior researchers in future-focused innovation methodologies

Qualifications

  • PhD in AI, Computer Science, or Futurology with 5+ years industry experience
  • Proven track record in developing AI systems deployed at scale (quantum computing a plus)
  • Expertise in ethical AI frameworks and responsible innovation practices
  • Strong background in strategic foresight methodologies (e.g., Delphi, scenario planning)
  • Published research in top-tier AI/technology journals or conferences
  • Experience working with government agencies on tech policy development
  • Exceptional communication skills for translating complex concepts to diverse stakeholders

Required Skills

AI Research Quantum Computing Ethical AI Strategic Foresight Policy Development Machine Learning Systems Architecture

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