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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist & Innovation Lead

Nexus Horizon Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Join Nexus Horizon Labs at the forefront of tomorrow's technological revolution. We're seeking a visionary AI Futurist to architect the future of human-machine collaboration by 2026. This pivotal role demands a strategic thinker who can translate emerging AI trends into actionable innovation frameworks that redefine industry standards. You'll lead cross-functional teams to prototype next-gen AI applications while ensuring ethical scalability and market disruption.

Our Austin-based innovation hub offers unparalleled resources for R&D, including quantum computing partnerships and neurotech integration labs. This position reports directly to the Chief Innovation Officer and offers stock options for early-stage contributors.

Responsibilities

  • Develop 2026 AI roadmaps for Fortune 500 clients across healthcare, logistics, and climate tech sectors
  • Lead research initiatives in generative AI, AGI safety protocols, and neural-symbolic integration
  • Coordinate with MIT Media Lab and Stanford HAI on cutting-edge AI ethics frameworks
  • Architect patent-pending AI-human symbiosis interfaces for enterprise deployment
  • Present future-tech forecasts at Davos, CES, and Web3 summits
  • Mentor PhD candidates in AI through our Nexus Fellowship program

Qualifications

  • PhD in Computer Science/AI or equivalent 10+ years in applied AI research
  • Published work in NeurIPS/ICML with >500 citations on transformer architectures
  • Experience scaling AI systems to 10M+ user deployments (e.g., ChatGPT-level)
  • Deep expertise in quantum machine learning and neuromorphic computing
  • Portfolio of 3+ industry-disrupting AI products launched since 2020
  • Certification in AI ethics from IEEE or ACM
  • Fluency in Python, PyTorch, and quantum programming frameworks

Required Skills

AI Strategy Quantum Computing Neural Networks Generative AI AGI Safety Futurism Ethics Innovation Management

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