Job Description
Join Nexus Horizons as a visionary AI Futurist to architect the technological landscape of 2026. We're seeking a strategic thinker who will pioneer AI-driven solutions that redefine industries and human potential. This role sits at the intersection of machine learning, ethical AI, and long-term strategic planning, offering unparalleled influence over our 2026 innovation roadmap.
Why Nexus Horizons? We're a preeminent AI research incubator with $2B in funding and partnerships with MIT, Stanford, and NASA. Our work directly shapes global policy on AI governance and human-AI collaboration. You'll lead cross-functional teams of quantum computing experts, neuroscientists, and ethicists to build the foundation for 2026's most transformative technologies.
Responsibilities
- Develop and implement the 2026 AI strategic vision, aligning technological capabilities with market evolution and societal needs
- Lead 'Horizon Scanning' initiatives to identify emerging AI paradigms, quantum computing breakthroughs, and neurotech innovations
- Architect ethical AI frameworks for 2026 deployment, ensuring compliance with evolving global regulations
- Collaborate with Fortune 500 partners to prototype AI solutions for climate modeling, personalized medicine, and autonomous systems
- Pioneer human-AI symbiosis protocols for the 2026 workforce, focusing on augmentation rather than replacement
- Present findings to the Global AI Council at the World Economic Forum 2026 Summit
Qualifications
- PhD in AI, Cognitive Science, or Futurism with 8+ years in strategic technology planning
- Proven track record of developing 5+ year tech roadmaps with measurable impact
- Deep expertise in quantum machine learning, neuromorphic computing, or AGI safety protocols
- Published research in top-tier journals (Nature, Science, AI Journal) on long-term AI ethics
- Experience advising governments or multinational corporations on technology policy
- Fluency in Python, TensorFlow, and predictive modeling frameworks
- Portfolio demonstrating 3+ large-scale AI implementations with 2020+ deployment horizons