Job Description
Join Horizon Dynamics at the forefront of tomorrow's transformation. We're seeking an AI Futurist Strategist to architect our 2026 roadmap, where cutting-edge technology meets human-centric innovation. This pivotal role will shape how organizations navigate the AI revolution, blending deep technical expertise with visionary foresight.
In our collaborative San Francisco hub, you'll lead cross-functional teams to develop predictive AI models, ethical frameworks, and implementation blueprints that will redefine industries by 2026. You'll partner with C-suite executives to translate complex AI capabilities into actionable business strategies that drive sustainable growth.
We offer unparalleled opportunities to work on quantum computing integration, generative AI ethics, and autonomous systems development. If you're passionate about building the future while solving today's challenges, this is your moment.
Responsibilities
- Design and execute AI strategic roadmaps targeting 2026 industry transformation milestones
- Lead cross-functional teams in developing predictive AI models for market forecasting
- Architect ethical AI governance frameworks ensuring responsible deployment
- Partner with executive leadership to align AI initiatives with business objectives
- Conduct horizon scanning to identify emerging AI technologies with disruptive potential
- Develop implementation blueprints for enterprise-scale AI integration
- Present strategic insights to stakeholders through compelling executive narratives
Qualifications
- 10+ years in AI/ML strategy with 5+ years in leadership roles
- PhD or equivalent in Computer Science, Data Science, or related field
- Proven track record developing enterprise AI roadmaps with measurable ROI
- Deep expertise in generative AI, quantum computing, and autonomous systems
- Certification in AI ethics frameworks (e.g., IEEE, ACM)
- Experience presenting to C-suite and board-level stakeholders
- Published research in top-tier AI journals or conferences
- Strong understanding of global tech policy and regulatory landscapes