Job Description
Join Nexus Horizons at the forefront of technological evolution. We're seeking a visionary 2026 AI Futurist Strategist to architect tomorrow's innovation landscape. This role bridges cutting-edge AI research with actionable business strategy, shaping how organizations navigate the next paradigm shift. You'll lead cross-functional teams in developing predictive frameworks that decode emerging tech trends, while driving initiatives that position our clients as industry pioneers in the AI-driven future.
Our culture thrives on intellectual curiosity and bold experimentation. With headquarters in San Francisco's innovation district, you'll collaborate with Nobel laureates, industry disruptors, and next-generation AI systems to solve humanity's most complex challenges. This isn't just a job—it's your opportunity to write the next chapter of technological progress.
Responsibilities
- Architect predictive AI strategic roadmaps for 2026-2030 technology adoption cycles
- Lead horizon-scanning initiatives identifying emerging AI paradigms (quantum ML, neuromorphic computing)
- Develop ethical governance frameworks for next-gen autonomous systems
- Coordinate C-suite executive workshops on AI-driven business transformation
- Author white papers on societal impacts of AGI and synthetic biology convergence
- Manage $15M+ innovation portfolio for quantum-AI integration projects
- Mentor emerging futurists in cross-disciplinary synthesis methodologies
Qualifications
- PhD in Computer Science, Cognitive Systems, or Futurist Studies (10+ years alternative experience)
- Published research in Nature/Science on AI ethics or singularity dynamics
- Proven track record leading enterprise AI strategy at FAANG or equivalent
- Expertise in forecasting technology S-curves and paradigm shifts
- Deep understanding of quantum computing's practical implications
- Experience with global regulatory frameworks for autonomous systems
- Portfolio demonstrating cross-industry innovation impact
- Fluency in strategic foresight methodologies (Delphi, causal layered analysis)