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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist - 2026 Visionary

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we architect the future by 2026. We seek an AI Futurist to pioneer next-generation artificial intelligence systems that will redefine human-machine collaboration. This role blends cutting-edge research with strategic innovation, requiring a visionary thinker who can translate abstract concepts into transformative solutions.

In our Austin innovation hub, you'll collaborate with Nobel laureates and industry disruptors to develop AI frameworks that address global challenges—from climate modeling to personalized medicine. Our culture values audacious thinking and ethical tech development, offering unparalleled resources to bring your boldest ideas to life.

Responsibilities

  • Design and deploy AI prototypes for 2026-era applications (quantum-ML fusion, sentient interfaces)
  • Lead cross-disciplinary research teams in neuromorphic computing and ethical AI alignment
  • Develop patent-pending algorithms for autonomous decision-making systems
  • Architect scalable AI infrastructure supporting 10M+ concurrent interactions
  • Collaborate with futurists to model societal impacts of emerging technologies
  • Publish breakthrough research in top-tier AI journals and conferences

Qualifications

  • PhD in Computer Science/AI or equivalent with 5+ years in bleeding-edge research
  • Published work on quantum machine learning or AGI safety protocols
  • Expertise in transformer architectures, neural-symbolic integration, and quantum computing
  • Proven track record of commercializing AI innovations (3+ products)
  • Deep understanding of AI ethics frameworks and regulatory landscapes
  • Experience with federated learning and zero-knowledge AI implementations

Required Skills

Quantum Computing AGI Research Neural-Symbolic AI Ethics Frameworks Quantum-ML Federated Learning Autonomous Systems

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