Job Description
Join Nexus Horizons Inc at the forefront of tomorrow's technology revolution. We're seeking a visionary AI Futurist to architect our 2026 innovation roadmap and shape the future of human-machine collaboration. This pivotal role bridges bleeding-edge AI research with market strategy, requiring both technical acumen and business foresight. You'll lead cross-disciplinary teams to develop predictive models for emerging tech adoption, identify paradigm-shifting opportunities, and translate complex innovations into actionable business strategies. Our culture thrives on intellectual curiosity and bold experimentation—perfect for those who want to build the future today.
Responsibilities
- Architect and execute the 2026 technology innovation roadmap, focusing on AI ethics, quantum computing integration, and human-AI symbiosis
- Lead cross-functional teams in developing predictive models for emerging tech adoption and market disruption
- Identify and evaluate breakthrough opportunities in generative AI, neuromorphic computing, and decentralized systems
- Translate complex technological concepts into compelling strategic narratives for C-suite executives and investors
- Establish strategic partnerships with academic institutions and industry pioneers to co-develop future technologies
- Monitor global tech policy developments and regulatory frameworks affecting 2026 innovation landscapes
- Develop AI governance frameworks ensuring responsible deployment of next-generation systems
Qualifications
- Advanced degree in Computer Science, AI, Systems Engineering, or related field (PhD preferred)
- 10+ years experience in AI research, product development, or strategic innovation leadership
- Proven track record of developing future-focused technology roadmaps with measurable outcomes
- Deep expertise in machine learning architectures, neural networks, and emerging AI paradigms
- Exceptional strategic thinking with ability to balance technical feasibility with market opportunities
- Experience presenting complex technical concepts to executive stakeholders and investors
- Published research or thought leadership in AI ethics, future studies, or disruptive technologies
- Proficiency in scenario planning and trend analysis methodologies