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AI Futurist - Shaping 2026's Digital Landscape

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

Job Description

Join QuantumLeap Innovations as we redefine human-machine collaboration for 2026. We're seeking a visionary AI Futurist to architect next-generation intelligent systems that will transform industries. This role combines cutting-edge AI research with strategic foresight to build solutions that anticipate and shape tomorrow's challenges. You'll work in our state-of-the-art Austin hub with elite researchers, leveraging our $50M innovation fund to pioneer breakthrough technologies.

We offer unparalleled growth opportunities, equity packages, and the chance to impact billions of lives through ethical AI development. Our culture celebrates bold thinking and rapid prototyping in a collaborative, results-driven environment.

Responsibilities

  • Architect AI roadmaps targeting 2026 technological inflection points
  • Lead cross-functional teams in developing adaptive AI systems
  • Conduct horizon scanning for emerging AI trends and threats
  • Design ethical frameworks for autonomous decision-making systems
  • Partner with Fortune 500 clients to implement future-ready AI solutions
  • Secure $10M+ in research grants for experimental AI initiatives
  • Mentor PhD researchers in next-gen neural network architectures

Qualifications

  • PhD in Computer Science/AI or equivalent with 8+ years experience
  • Published research in top-tier AI conferences (NeurIPS, ICML)
  • Expertise in quantum computing, AGI safety, and neuromorphic systems
  • Proven track record of deploying AI systems at scale
  • Deep understanding of 2026 regulatory landscapes (EU AI Act, US frameworks)
  • Exceptional strategic communication with C-suite stakeholders
  • Portfolio demonstrating 3+ breakthrough AI innovations
  • Fluency in Python, TensorFlow, and quantum programming languages

Required Skills

Artificial Intelligence Strategic Foresight Quantum Computing Machine Learning Neural Networks Ethics Research Leadership Python TensorFlow

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