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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist Strategist

Horizon Dynamics
Austin
Estimated Salary
USD 185.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Horizon Dynamics at the forefront of 2026's technological revolution. We're seeking visionary AI Futurist Strategists to architect tomorrow's intelligent systems today. Shape the convergence of quantum computing, neural interfaces, and autonomous ecosystems while driving ethical AI adoption across industries. Your insights will directly influence how humanity navigates the next frontier of digital transformation.

Why This Role Matters: As we approach 2026, the boundaries between physical and digital worlds are dissolving. This role bridges theoretical AI research with practical implementation, ensuring our innovations align with human-centric values and sustainable growth.

Responsibilities

  • Develop 2026-specific AI roadmaps for Fortune 500 clients in healthcare, logistics, and energy sectors
  • Lead cross-functional teams in prototyping next-gen AI systems with 10-year horizon planning
  • Conduct scenario analysis on quantum-AI convergence impacts on global markets
  • Author white papers on ethical AI governance frameworks for 2026 regulatory landscapes
  • Collaborate with neuroscientists to design human-AI symbiotic interfaces
  • Architect decentralized AI networks resistant to 2026-era cybersecurity threats

Qualifications

  • PhD in AI, Computational Science, or equivalent with 5+ years strategic planning experience
  • Published research in Nature/Science on emerging AI paradigms (2019-2023)
  • Expertise in federated learning and explainable AI frameworks
  • Proficiency in simulating quantum machine learning environments
  • Experience presenting to C-suite executives on long-term tech strategy
  • Certification in AI ethics from IEEE or ACM
  • Portfolio demonstrating 3+ industry-disrupting AI implementations

Required Skills

AI Strategy Quantum Computing Neural Interfaces Scenario Planning Ethics Frameworks Federated Learning Explainable AI Futurology

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