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AI Futurist - 2026 Vision Lead

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

Job Description

Join QuantumLeap Innovations as we redefine the technological landscape for 2026. We're seeking a visionary AI Futurist to architect the next generation of intelligent systems that will transform industries worldwide. This role sits at the intersection of cutting-edge research and practical implementation, requiring a blend of technical expertise and strategic foresight.

You'll lead a cross-disciplinary team in developing predictive AI models that anticipate market shifts, consumer behaviors, and technological disruptions by 2026. Our Austin-based innovation hub offers unparalleled resources, including quantum computing access and partnerships with NASA and DARPA.

Responsibilities

  • Architect AI roadmaps for 2026 technological convergence (quantum + AI + IoT)
  • Lead research on next-gen neural networks with 1000x efficiency improvements
  • Develop predictive models for climate change adaptation and resource optimization
  • Collaborate with policy teams on AI governance frameworks for 2026 deployment
  • Present strategic visions to C-suite executives and government stakeholders
  • Mentor PhD researchers in emerging AI paradigms (explainable AI, federated learning)
  • Secure $5M+ in research grants from NSF, DARPA, and industry consortiums

Qualifications

  • PhD in Computer Science/AI with 8+ years of research leadership
  • Published breakthrough work in NeurIPS/ICML/AAAI conferences (2020-2023)
  • Expertise in quantum machine learning and neuromorphic computing
  • Proven track record of scaling AI systems to 100M+ user deployments
  • Deep understanding of ethical AI frameworks and bias mitigation
  • Experience with federated learning and edge-AI architectures
  • Ability to translate complex concepts into actionable business strategies
  • Security clearance preferred (or ability to obtain)

Required Skills

AI Research Quantum Computing Neural Networks Predictive Modeling Strategic Planning Machine Learning Ethics AI Federated Learning

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