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AI Futurist - 2026 Innovation Lead

Quantum Leap Technologies
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join Quantum Leap Technologies as we pioneer the next frontier of human-machine collaboration. We seek a visionary AI Futurist to architect breakthrough systems for 2026 and beyond. This role merges cutting-edge research with strategic foresight to transform how humanity interacts with artificial intelligence. You'll lead cross-functional teams to develop ethical, scalable AI frameworks that will define the next decade of technological evolution.

We offer unparalleled resources, including our state-of-the-art Quantum Neural Lab and partnerships with MIT and Stanford. Your work will directly influence products used by over 50 million users worldwide, shaping the ethical foundations of future AI ecosystems.

Responsibilities

  • Design and implement next-generation AI architectures for 2026 deployment horizons
  • Lead cross-functional teams in developing ethical AI governance frameworks
  • Conduct pioneering research in neural-symbolic integration and AGI safety protocols
  • Collaborate with quantum computing teams to hybridize classical and quantum AI systems
  • Present strategic AI roadmaps to C-suite executives and industry consortiums
  • Mentor junior researchers while publishing breakthrough findings in Nature/Science journals
  • Drive adoption of explainable AI standards across enterprise product lines

Qualifications

  • PhD in Machine Learning, Cognitive Science, or related field with 5+ years industry experience
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, ICLR)
  • Expertise in transformer architectures, reinforcement learning, and multi-agent systems
  • Proven track record of scaling AI systems to 10M+ user deployments
  • Deep understanding of ethical AI frameworks (EU AI Act, NIST RMF)
  • Experience with quantum computing primitives and hybrid AI models
  • Exceptional strategic communication skills for technical and non-technical stakeholders

Required Skills

Machine Learning AI Ethics Quantum Computing Neural Networks Strategic Foresight Reinforcement Learning Explainable AI Research Leadership

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