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AI Futurist Lead - Shaping the Future by 2026

Innovate Tomorrow Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Join Innovate Tomorrow Inc. as a visionary AI Futurist Lead to architect the technological landscape of 2026. We're seeking a strategic pioneer who will spearhead the development and implementation of next-generation AI systems that redefine industries. This role demands a blend of technical expertise, foresight, and leadership to navigate the evolving intersection of artificial intelligence and human progress. You'll collaborate with C-suite executives, research labs, and global partners to transform theoretical breakthroughs into tangible innovations.

Responsibilities

  • Develop and execute strategic roadmaps for AI advancement targeting 2026 market readiness
  • Lead cross-functional teams in prototyping and deploying cutting-edge AI solutions
  • Conduct horizon scanning to identify emerging technologies with transformative potential
  • Establish ethical frameworks and governance protocols for next-gen AI systems
  • Forge strategic partnerships with academic institutions and industry leaders
  • Present future vision to stakeholders through compelling data-driven narratives
  • Drive innovation sprints focused on quantum-AI integration and neural interfaces

Qualifications

  • PhD in Computer Science, AI, or related field with 8+ years of experience
  • Proven track record in deploying enterprise-scale AI/ML systems
  • Deep expertise in neural networks, quantum computing, and predictive analytics
  • Published research in top-tier AI journals or conference proceedings
  • Experience leading technical teams of 15+ professionals
  • Fluency in Python, TensorFlow, and distributed computing frameworks
  • Strong understanding of geopolitical and socioeconomic impacts of AI
  • Certification in AI ethics (e.g., IEEE Ethically Aligned Design)

Required Skills

Artificial Intelligence Future Studies Strategic Planning Machine Learning Data Science Innovation Management Ethical AI

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