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AI Futurist Strategist (2026 Vision)

QuantumLeap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Shape tomorrow today at QuantumLeap Dynamics. We're seeking an AI Futurist Strategist (2026 Vision) to architect the next wave of intelligent systems. Join our elite team redefining human-AI symbiosis in a world where boundaries dissolve between physical and digital realities. This is your chance to pioneer solutions that will define the 2026 technological landscape.

We offer unparalleled resources, cutting-edge research partnerships, and a culture where audacious ideas become breakthrough innovations. Your work will directly impact Fortune 500 clients and emerging startups alike.

Responsibilities

  • Develop 2026-focused AI roadmaps aligning with quantum computing convergence and neural interface integration
  • Architect adaptive AI systems for autonomous decision-making in volatile future markets
  • Lead cross-disciplinary teams (neuroscientists, ethicists, engineers) for human-centric AI solutions
  • Forecast disruptive technology impacts across healthcare, climate, and urban ecosystems
  • Design ethical frameworks for AI consciousness and emergent behavior modeling
  • Present strategic blueprints to C-suite executives and global innovation councils

Qualifications

  • PhD in AI, Cognitive Science, or Futuristics (Master's + 8+ years equivalent experience)
  • Published research in quantum machine learning or neuromorphic computing
  • Proven track record of building AI systems operating in >99.9% uncertainty environments
  • Expertise in temporal forecasting for complex adaptive systems
  • Deep understanding of AGI safety protocols and existential risk mitigation
  • Experience with ethical AI governance frameworks (EU AI Act, NIST RMF)
  • Portfolio showcasing 2026-relevant AI prototypes or simulations

Required Skills

Artificial Intelligence Quantum Computing Futurism Strategic Planning Neural Networks Ethics Machine Learning Systems Thinking

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