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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist & Innovation Strategist

InnovateX Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Join InnovateX Labs at the forefront of technological evolution as we architect the future of human-AI symbiosis. We seek a visionary AI Futurist to define and execute our 2026-2030 innovation roadmap, transforming cutting-edge research into scalable solutions that redefine industries.

This role demands a blend of technical acumen and strategic foresight, where you'll collaborate with Nobel laureates, quantum computing pioneers, and generative AI architects to solve humanity's most complex challenges. You'll lead cross-functional teams in prototyping autonomous systems, ethical AI frameworks, and next-gen human-computer interfaces.

Responsibilities

  • Develop and operationalize AI innovation roadmaps targeting 2026 technological inflection points
  • Lead research initiatives in quantum neural networks and AGI alignment strategies
  • Architect ethical AI governance frameworks for global deployment
  • Partner with C-suite executives to integrate futuristic technologies into enterprise ecosystems
  • Drive adoption of synthetic data generation and zero-trust AI architectures
  • Mentor cross-disciplinary teams in emerging paradigms like neuromorphic computing
  • Secure $50M+ in R&D funding through visionary proposals

Qualifications

  • PhD in Computer Science, AI, or Futuristics with 8+ years industry experience
  • Published research in Nature/Science on AI ethics or quantum computing
  • Proven track record scaling AI initiatives to >1M users
  • Expertise in generative adversarial networks and transformer architectures
  • Deep understanding of singularity timelines and technological forecasting
  • Certification in AI governance frameworks (e.g., IEEE 7000)
  • Experience with federated learning and differential privacy systems

Required Skills

Artificial Intelligence Strategic Planning Quantum Computing Ethical AI Generative Models Futurism R&D Leadership Machine Learning

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