Job Description
Join Nexus Horizons Inc. at the vanguard of technological evolution as we pioneer solutions for 2026 and beyond. We seek a visionary AI Futurist to architect our next-generation innovation framework, transforming how humanity interacts with artificial intelligence. This role demands a strategic mind who can navigate emerging tech landscapes while ensuring ethical implementation. You'll lead cross-disciplinary teams in developing predictive models, quantum-AI hybrids, and sentient interfaces that will define the next decade.
Our ideal candidate thrives at the intersection of technology and human potential. You'll collaborate with Nobel laureates, startup founders, and global policymakers to shape AI governance frameworks that prioritize inclusivity and sustainability. This isn't just a job—it's your opportunity to architect the digital future while ensuring humanity remains at the center of technological progress.
Responsibilities
- Architect 2026-ready AI ecosystems integrating quantum computing, neuromorphic chips, and decentralized networks
- Develop predictive frameworks for AI's societal impact on labor markets, healthcare, and climate resilience
- Lead 'Future Scenarios' workshops with C-suite executives to prepare for 2030 tech disruptions
- Design ethical AI governance protocols aligned with EU AI Act and evolving global standards
- Partner with MIT Media Lab and Stanford HAI to pioneer next-gen human-AI symbiosis models
- Oversee $50M innovation fund for startups developing 2026-ready AI applications
- Author white papers on AI existential risks and mitigation strategies for World Economic Forum
Qualifications
- PhD or equivalent in AI Ethics, Computational Philosophy, or Future Studies with 8+ years experience
- Published research in Nature/Science journals on AI governance or technological forecasting
- Proven track record advising Fortune 500 companies on 5-year tech transformation roadmaps
- Expertise in quantum machine learning, AGI safety protocols, and bi-directional AI-human interfaces
- Certified in ISO/IEC 42001 AI management systems and IEEE 7001 AI transparency standards
- Experience testifying before congressional committees on AI policy implications
- Fluency in Python, TensorFlow, and causal inference modeling for predictive analytics