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AI Futurist Strategist - 2026 Vision

Horizon Dynamics Inc.
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Horizon Dynamics Inc. at the forefront of technological evolution as we architect the landscape of 2026. We're seeking an AI Futurist Strategist to pioneer next-generation solutions that will redefine industries. This role combines cutting-edge AI research with strategic foresight to develop actionable roadmaps for our clients' digital transformation. You'll work in our state-of-the-art Austin R&D hub, collaborating with Nobel laureates and industry disruptors to shape the future of human-machine collaboration.

Responsibilities

  • Lead predictive modeling for 2026 technology adoption trends across healthcare, finance, and manufacturing sectors
  • Develop AI-driven scenario planning frameworks for Fortune 500 clients navigating post-quantum computing landscapes
  • Architect neural interfaces for next-gen human-AI symbiosis systems
  • Coordinate global research initiatives with MIT and Stanford's future studies departments
  • Translate complex quantum algorithms into business strategy blueprints
  • Present findings at Davos-style summits and industry whitepaper publications
  • Mentor cross-functional teams in emerging tech ethics and governance

Qualifications

  • PhD in Computer Science, AI, or Futurist Studies with 5+ years applied research experience
  • Published work in Nature AI or IEEE Transactions on Emerging Topics
  • Expertise in quantum machine learning and neuromorphic computing architectures
  • Proven track record of developing 5-year tech roadmaps for Fortune 100 companies
  • Fluency in Python, TensorFlow, and predictive analytics frameworks
  • Deep understanding of post-2025 regulatory landscapes for autonomous systems
  • Certification in AI Ethics from IEEE or equivalent governing body

Required Skills

AI Research Quantum Computing Futurist Strategy Predictive Analytics Neural Interfaces Tech Ethics TensorFlow Python Scenario Planning

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