Job Description
Join Nexus Horizons at the forefront of technological evolution as we pioneer the 2026 digital landscape. We seek a visionary AI Futurist Strategist to architect tomorrow's intelligent ecosystems today. This role combines cutting-edge AI research with strategic foresight, transforming theoretical innovation into market-disrupting solutions. You'll collaborate with quantum computing pioneers and neuro-symbolic AI researchers to define the next decade of human-machine symbiosis.
Our mission is to create ethically aligned autonomous systems that augment human potential while navigating complex socio-technical challenges. You'll lead cross-functional teams in developing predictive frameworks for AI governance, climate intelligence, and cognitive augmentation systems. This position offers unparalleled influence in shaping responsible AI policy and industry standards for the 2026 horizon.
Responsibilities
- Architect strategic roadmaps for AI-powered autonomous systems with 2026 deployment horizons
- Lead cross-disciplinary research teams in neuro-symbolic AI and quantum machine learning
- Develop predictive governance frameworks for ethical AI alignment and regulatory compliance
- Design human-centric cognitive augmentation interfaces for enterprise and consumer applications
- Partner with policymakers to establish industry standards for AI safety and transparency
- Drive innovation in climate intelligence systems using generative adversarial networks
- Lead commercialization of theoretical AI concepts into market-ready solutions
Qualifications
- PhD in Computer Science, Cognitive Science, or related field with 8+ years AI research experience
- Published work in top-tier AI conferences (NeurIPS, ICML, ICLR) on transformer architectures
- Expertise in quantum computing algorithms and quantum machine learning frameworks
- Proven track record in scaling AI systems from prototype to production (10M+ users)
- Deep understanding of EU AI Act, NIST AI RMF, and evolving global AI governance landscape
- Experience with neuro-symbolic integration and human-AI collaboration frameworks
- Strong background in climate modeling and environmental AI applications