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2026 AI Futurist Lead

Nexus Horizon Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Horizon Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking a visionary 2026 AI Futurist Lead to architect the next generation of intelligent systems. This role combines cutting-edge AI research with strategic foresight to transform industries through predictive modeling and autonomous decision frameworks. You'll collaborate with quantum computing specialists and neuro-symbolic AI researchers to develop breakthrough solutions that will redefine human-machine interaction.

Our Austin hub offers unparalleled resources including a quantum computing lab and dedicated neuro-ethics research facilities. We provide competitive equity packages, flexible hybrid work arrangements, and continuous learning stipends to ensure you remain at the vanguard of technological advancement.

Responsibilities

  • Lead cross-functional teams in developing predictive AI models for 2026 market scenarios
  • Architect autonomous decision frameworks with ethical governance protocols
  • Collaborate with quantum computing teams to optimize AI training pipelines
  • Present strategic technology roadmaps to C-suite executives and industry partners
  • Research emerging AI paradigms including neuro-symbolic integration and swarm intelligence
  • Develop patent-pending solutions for real-time adaptive systems
  • Mentor junior researchers in AI ethics and responsible innovation practices

Qualifications

  • PhD in Computer Science, AI, or Cognitive Science with 8+ years industry experience
  • Published research in top-tier AI/ML conferences (NeurIPS, ICML, CVPR)
  • Expertise in transformer architectures, reinforcement learning, and causal inference
  • Proven track record of leading AI projects with measurable business impact
  • Deep understanding of quantum computing principles and their AI applications
  • Certification in AI ethics frameworks (e.g., IEEE Ethically Aligned Design)
  • Experience with MLOps pipelines and distributed training frameworks

Required Skills

AI Machine Learning Quantum Computing Predictive Modeling Neuro-Symbolic AI Ethics Reinforcement Learning MLOps

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