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AI Futurist Strategist (2026 Vision)

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

Job Description

Shape tomorrow's reality today. Horizon Dynamics seeks an AI Futurist Strategist to architect the 2026 technological landscape. We're pioneering quantum-entangled AI systems and decentralized neural networks that will redefine human-machine collaboration. Join our Austin-based innovation lab where you'll lead cross-disciplinary teams to develop predictive models for climate resilience, autonomous infrastructure, and ethical AI governance frameworks.

This role requires visionary thinking and hands-on prototyping expertise. You'll collaborate with Nobel laureates and Silicon Valley disruptors to build the infrastructure for humanity's next evolution. We offer equity, unlimited PTO, and a $50K annual innovation budget.

Responsibilities

  • Develop 2026 technology roadmaps for quantum AI and neuromorphic computing systems
  • Lead research teams in creating ethical AI governance frameworks for global adoption
  • Design predictive models for climate-resilient smart city infrastructure
  • Prototype decentralized neural networks using blockchain-secured data lakes
  • Present findings at Davos, TED, and IEEE conferences
  • Mentor PhD researchers in human-AI symbiosis methodologies
  • Secure $10M+ in government/private sector innovation grants

Qualifications

  • PhD in Quantum Computing, Cognitive Science, or AI Ethics (or equivalent portfolio)
  • 5+ years experience in AI strategy with 3+ publications in Nature/Science
  • Expertise in federated learning and differential privacy frameworks
  • Proficiency in PyTorch Quantum and Cirq for prototyping
  • Track record of scaling AI solutions to 10M+ user bases
  • Fluency in policy advocacy for AI regulatory frameworks
  • Portfolio demonstrating 2026-focused technology implementations

Required Skills

Quantum AI Neuromorphic Computing Ethical AI Governance Predictive Modeling Blockchain Security Federated Learning Policy Advocacy

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