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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist & Innovation Strategist

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join Nexus Future Labs at the forefront of 2026's technological revolution! We're seeking an visionary AI Futurist to architect the next generation of human-machine symbiosis. This pivotal role demands a strategic mind to shape our innovation roadmap, blending cutting-edge AI research with practical business transformation. You'll lead cross-functional teams in developing autonomous systems, quantum-optimized algorithms, and ethical frameworks that redefine industries. Our state-of-the-art lab in downtown San Francisco offers unparalleled resources to pioneer solutions for climate modeling, personalized medicine, and immersive digital ecosystems.

Responsibilities

  • Architect 10-year AI innovation roadmaps aligned with global megatrends
  • Lead R&D initiatives in generative AI, neuromorphic computing, and decentralized networks
  • Develop ethical governance frameworks for autonomous systems and quantum AI
  • Partner with Fortune 500 clients to implement future-proof digital transformations
  • Present strategic foresight at global tech summits (Davos, CES, Web Summit)
  • Mentor next-gen AI researchers through our Future Leaders Fellowship program

Qualifications

  • PhD in Computer Science, Cognitive Science, or related field with 5+ years applied AI experience
  • Proven track record developing production-grade generative AI systems
  • Deep expertise in quantum machine learning and neuromorphic architectures
  • Published research in top-tier journals (Nature AI, NeurIPS, ICML)
  • Experience with ethical AI frameworks (EU AI Act, NIST RMF)
  • Exceptional strategic communication skills with C-suite executives
  • Portfolio demonstrating AI solutions deployed at scale (>1M users)

Required Skills

Artificial Intelligence Strategic Foresight Quantum Computing Generative AI Neuromorphic Engineering Ethical AI Machine Learning Data Science Innovation Strategy

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