Job Description
Join QuantumLeap Innovations as we architect the future of human-machine collaboration. We're seeking a visionary AI Futurist to spearhead our 2026 strategic roadmap, blending cutting-edge technology with human-centric innovation. This pivotal role requires a forward-thinker who can navigate the intersection of emerging tech, ethical AI, and market disruption. You'll lead cross-disciplinary teams to develop actionable frameworks for the next generation of intelligent systems while ensuring alignment with humanity's long-term prosperity.
Our ideal candidate thrives at the bleeding edge of technological possibility, with a proven ability to translate complex concepts into transformative business strategies. You'll collaborate with Nobel laureates, industry disruptors, and global policymakers to shape the AI landscape of tomorrow.
Responsibilities
- Architect and execute the 2026 AI strategic roadmap, aligning technological capabilities with market evolution
- Lead cross-functional R&D initiatives in quantum computing, neuro-symbolic AI, and ethical machine learning
- Develop predictive models for AI-driven market disruption across healthcare, climate, and energy sectors
- Establish global partnerships with academic institutions and government bodies for AI governance frameworks
- Mentor next-generation AI ethicists and systems designers through our Future Leaders program
- Author white papers and policy briefs on AI's societal impact for G7 summits and World Economic Forum
Qualifications
- PhD in AI, Cognitive Science, or Futurism with 10+ years in strategic technology planning
- Published research in top-tier journals (Nature, Science, or AI Journal) on emergent technologies
- Proven track record leading AI transformation at Fortune 500 or unicorn startups
- Deep expertise in quantum machine learning and explainable AI frameworks
- Experience advising UN/WHO technology task forces on AI ethics and policy
- Fluency in at least 3 programming languages (Python, R, LISP) and quantum circuit design
- Portfolio demonstrating successful prediction of technological inflection points (2018-2023)