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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist - Shaping 2026

TomorrowTech Solutions
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join TomorrowTech Solutions at the forefront of technological evolution as we prepare for 2026. We seek visionary AI Futurists to architect the next generation of intelligent systems that will redefine industries. This role blends cutting-edge AI research with strategic foresight to develop ethical frameworks and scalable solutions for tomorrow's challenges.

Our Austin hub sits at the intersection of innovation and sustainability, offering unparalleled resources to transform theoretical concepts into real-world applications. You'll collaborate with Nobel laureates and industry pioneers to shape the future of human-AI symbiosis.

Responsibilities

  • Develop predictive models for 2026+ AI adoption across healthcare, climate science, and autonomous systems
  • Design ethical governance frameworks for quantum-AI hybrid architectures
  • Lead cross-functional teams in prototyping next-gen neural interfaces
  • Conduct horizon scanning for emerging technologies with global impact potential
  • Author white papers on AI's role in solving existential challenges
  • Advocate for inclusive AI development through policy recommendations
  • Establish KPIs for measuring societal benefit of advanced AI systems

Qualifications

  • PhD in Computer Science, Cognitive Science, or Futurology with 5+ years AI research
  • Published work on ethical AI alignment or technology forecasting
  • Expertise in federated learning and explainable AI (XAI) methodologies
  • Experience with climate modeling or bioinformatics applications
  • Proficiency in Python, TensorFlow, and quantum computing frameworks
  • Track record of securing $1M+ in research grants
  • Fluency in systems thinking and complex adaptive systems analysis

Required Skills

AI Ethics Technology Forecasting Quantum Computing Neural Interfaces Explainable AI Federated Learning Systems Thinking Policy Development

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