Job Description
Join Horizon Dynamics at the forefront of 2026's technological evolution. We seek an AI Futurist Strategist to architect tomorrow's intelligent systems today. This visionary role bridges cutting-edge AI research with practical industry implementation, shaping how businesses prepare for a quantum-powered, hyper-automated future. You'll lead cross-functional teams in developing predictive frameworks for emerging technologies while maintaining ethical governance in an era of unprecedented digital transformation.
Our ideal candidate thrives at the intersection of machine learning, computational physics, and socio-economic forecasting. You'll work with Fortune 500 clients to future-proof their operations against paradigm shifts in AI ethics, decentralized networks, and biometric authentication systems. This is your opportunity to define the next decade of human-machine collaboration.
Responsibilities
- Develop predictive AI models forecasting technological adoption curves for 2026-2030
- Lead quantum-resistant encryption protocols for next-gen AI infrastructure
- Architect ethical AI governance frameworks for autonomous decision systems
- Conduct scenario planning for biometric authentication integration in enterprise ecosystems
- Design neural-symbolic AI architectures for explainable machine learning
- Coordinate with futurists and policy advisors on AI regulatory impact assessments
- Author white papers on the societal implications of AGI development timelines
Qualifications
- PhD in Computer Science/AI with focus on quantum machine learning or equivalent experience
- 5+ years implementing ethical AI frameworks in regulated industries
- Expertise in federated learning and zero-trust architecture principles
- Published research on AI existential risk mitigation strategies
- Proficiency in simulating quantum-classical hybrid computing environments
- Certification in AI ethics governance (IEEE or ACM equivalent)
- Experience advising C-suite on technology disruption preparedness
- Portfolio demonstrating successful AI system scaling to enterprise level