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AI Futurist Strategist (2026 Vision)

Horizon Dynamics Inc.
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

Join Horizon Dynamics Inc. at the forefront of 2026's technological revolution. We're seeking a visionary AI Futurist Strategist to architect our next-gen AI ecosystems and pioneer solutions that will define the next decade. This role combines cutting-edge research with strategic foresight, requiring a blend of technical expertise and business acumen. You'll collaborate with Fortune 500 partners to develop AI frameworks that solve humanity's greatest challenges while driving sustainable growth.

Our Austin headquarters features state-of-the-art labs, flexible work arrangements, and a culture that values innovation above all. We offer competitive equity packages, wellness stipends, and opportunities to publish in leading industry journals.

Responsibilities

  • Design and implement AI roadmaps for 2026+ capabilities in quantum computing integration and autonomous systems
  • Lead cross-functional teams in developing predictive models for market disruption and ethical AI governance
  • Partner with C-suite executives to align AI initiatives with long-term corporate strategy and ESG goals
  • Conduct horizon scanning to identify emerging technologies with transformative potential by 2026
  • Author white papers and patents for next-gen AI architectures in decentralized networks
  • Develop KPI frameworks for measuring AI's societal impact and ROI on futuristic solutions

Qualifications

  • PhD or equivalent in AI/ML, Computer Science, or Futurism with 5+ years applied research experience
  • Proven track record in deploying AI systems at scale with measurable business outcomes
  • Deep expertise in quantum machine learning, neural-symbolic AI, and federated learning
  • Strong background in strategic foresight methodologies (e.g., Delphi, scenario planning)
  • Published author in top-tier AI/ethics journals or conference proceedings
  • Certification in AI governance frameworks (e.g., EU AI Act, NIST RMF)
  • Experience with cloud-native AI deployment (AWS/GCP/Azure) and MLOps pipelines

Required Skills

AI/ML Quantum Computing Strategic Foresight Neural-Symbolic AI Federated Learning AI Governance Cloud AI MLOps Predictive Modeling Ethical AI

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