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2026 AI Futurist Lead

FutureHorizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join FutureHorizon Labs at the forefront of innovation as we architect the technological landscape of 2026. We're seeking a visionary 2026 AI Futurist Lead to design next-generation AI solutions that will redefine industries. This role combines cutting-edge research with strategic implementation, requiring a blend of technical expertise and forward-thinking vision.

As part of our elite innovation team, you'll collaborate with quantum computing specialists, neuro-technologists, and sustainable energy pioneers to create AI frameworks that will power the next decade. We offer unparalleled resources, flexible work arrangements, and a culture where breakthrough ideas are transformed into reality.

Responsibilities

  • Architect AI roadmaps for 2026-2030 targeting autonomous systems and human-AI symbiosis
  • Lead cross-functional teams in developing prototype neural interfaces for cognitive augmentation
  • Conduct horizon scanning to identify emerging AI technologies with 3-5 year commercialization potential
  • Design ethical frameworks for superintelligent AI deployment in regulated environments
  • Present strategic AI visions to C-suite executives and venture capital partners
  • Secure $5M+ in R&D funding for experimental AI projects
  • Mentor junior researchers in future-focused AI methodologies

Qualifications

  • PhD in Computer Science/AI or equivalent with 8+ years in advanced AI development
  • Proven track record of launching AI products with $10M+ revenue impact
  • Expertise in quantum machine learning and neuromorphic computing architectures
  • Published research in top-tier AI journals (NeurIPS, ICML, Nature AI)
  • Experience with international AI ethics governance frameworks (EU AI Act, OECD)
  • Strong background in sustainable AI development and carbon-conscious computing
  • Exceptional strategic communication skills for technical and non-technical audiences

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Strategic Planning Neuromorphic Systems AI Ethics Futurism Research Leadership

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