Job Description
Shape the future of 2026 as Horizon Dynamics' AI Futurist Strategist. We're seeking visionary pioneers to architect transformative AI roadmaps that will redefine industries by 2026. Lead cross-functional teams in developing quantum-resistant AI frameworks, autonomous system integrations, and ethical governance protocols for next-gen human-AI symbiosis. Join our innovation ecosystem where your strategic foresight directly influences Fortune 500 digital transformations.
This hybrid-remote role demands thought leadership at the intersection of exponential technologies and human-centric design. You'll pioneer predictive models for 2026+ market disruptions while architecting responsible AI adoption frameworks that balance innovation with ethical imperatives.
Responsibilities
- Develop predictive AI roadmaps for 2026+ market transformations using trend analysis and scenario modeling
- Architect quantum-resistant AI frameworks and autonomous system integration strategies
- Lead cross-functional teams in designing ethical AI governance protocols for human-AI symbiosis
- Conduct horizon scanning for exponential technologies (quantum computing, neuromorphic chips, etc.)
- Present strategic recommendations to C-suite executives through data-driven narratives
- Build partnerships with academic institutions and tech innovators to shape 2026 AI standards
- Mentor junior strategists in future-proof methodologies and emerging technology forecasting
Qualifications
- PhD or Master's in AI, Computer Science, or Futurism with 8+ years in strategic technology planning
- Proven track record developing enterprise AI roadmaps with measurable 2020-2025 impact
- Expertise in quantum computing principles, neuromorphic architectures, and AGI safety protocols
- Certification in Strategic Foresight (CFP) or Technology Innovation Management
- Published thought leadership on AI ethics or exponential technology trends
- Experience advising Fortune 500 boards on digital transformation strategies
- Portfolio demonstrating 3+ future-proof AI system implementations