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AI Futurist Strategist

InnovateX Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Join InnovateX Labs at the forefront of technological evolution as we shape the future for 2026 and beyond. We're seeking a visionary AI Futurist Strategist to architect transformative solutions that redefine human-machine interaction. This role combines cutting-edge AI research with strategic foresight to develop roadmaps for autonomous systems, quantum computing integration, and ethical AI frameworks. You'll collaborate with Nobel laureates, lead cross-functional teams, and influence policy discussions on global AI governance. Enjoy unparalleled benefits including equity in our moonshot projects and flexible remote work with quarterly innovation retreats in Tokyo and Berlin.

Responsibilities

  • Develop 5-year strategic roadmaps for AI applications across healthcare, climate tech, and space exploration
  • Lead quantum-AI hybrid system prototyping for next-gen computational breakthroughs
  • Architect ethical AI governance frameworks for international regulatory compliance
  • Partner with UN agencies to design AI-powered sustainability initiatives for 2030 targets
  • Manage $10M+ R&D budgets for experimental neural network architectures
  • Present findings at Davos, TED, and IEEE global summits
  • Mentor PhD candidates in AI ethics and transhumanist technologies

Qualifications

  • PhD in Computer Science/AI with 10+ years in quantum computing or neuromorphic systems
  • Published research in Nature/Science on AI ethics or AGI safety protocols
  • Experience securing $50M+ in government innovation grants
  • Fluency in Python, TensorFlow, and quantum programming languages
  • Deep understanding of ISO/IEC 42001 and EU AI Act compliance frameworks
  • Portfolio demonstrating deployed AI systems with >99.9% reliability
  • Security clearance for DoD/NASA collaborative projects

Required Skills

Artificial Intelligence Quantum Computing Strategic Foresight Machine Learning Neuromorphic Engineering AI Ethics Policy Governance Computational Theory

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