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AI Futurist Strategist (2026)

Horizon Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
7 Juli 2026
Deadline
7 Jul 2027

Job Description

Join Horizon Dynamics as a visionary AI Futurist Strategist to architect the technological landscape of 2026. We're seeking a forward-thinking pioneer who will decode emerging AI trends, quantum computing implications, and ethical AI frameworks to shape our clients' 5-year digital transformation roadmaps. This role blends deep technical acumen with strategic foresight to position organizations at the vanguard of the Fourth Industrial Revolution.

You'll lead cross-functional teams in developing predictive AI models, metaverse integration strategies, and decentralized AI governance systems while ensuring alignment with ESG principles. Our Austin-based innovation hub offers unparalleled resources to incubate breakthrough concepts that will redefine industries by 2026.

Responsibilities

  • Develop 2026-focused AI strategy roadmaps for Fortune 500 clients
  • Analyze quantum computing's impact on machine learning paradigms
  • Architect ethical AI frameworks for autonomous systems deployment
  • Lead workshops on metaverse-AI convergence scenarios
  • Produce trend reports on generative AI's industrial applications
  • Design decentralized AI governance protocols for 2026
  • Advocate responsible AI adoption in board-level presentations

Qualifications

  • PhD in Computer Science/AI or equivalent strategic consulting experience
  • 5+ years in AI strategy with Fortune 500 implementation track record
  • Published research on quantum machine learning or ethical AI
  • Deep understanding of Web3.0 and metaverse technologies
  • Certification in AI governance frameworks (e.g., NIST AI RMF)
  • Experience building predictive models for 2026 technology adoption
  • Expertise in cross-industry AI impact assessment methodologies

Required Skills

Artificial Intelligence Strategic Foresight Quantum Computing Ethical AI Metaverse Integration Generative AI Governance Frameworks Predictive Modeling

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