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AI Futurist Strategist

Nexus Horizon Labs
Austin
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Horizon Labs at the forefront of technological evolution. We're seeking an AI Futurist Strategist to architect the next generation of intelligent systems for 2026 and beyond. This role blends visionary thinking with practical execution, shaping how AI integrates into human society while navigating ethical frameworks and market disruption. You'll collaborate with Nobel laureates, Silicon Valley pioneers, and global policymakers to redefine the boundaries of possibility.

What You'll Achieve:
• Pioneer AI solutions for climate resilience and sustainable infrastructure
• Develop ethical AI governance frameworks for 2030+ implementation
• Lead cross-disciplinary teams in quantum-AI hybrid system development
• Shape industry standards through white papers and policy advisory work

Responsibilities

  • Architect next-gen AI roadmaps aligning with 2026 technological inflection points
  • Lead interdisciplinary R&D teams in quantum-AI convergence projects
  • Develop ethical AI governance frameworks for global policy adoption
  • Partner with Fortune 100 CTOs on AI transformation strategy
  • Produce visionary white papers on AI's societal impact by 2030
  • Secure $10M+ in research funding for frontier AI initiatives
  • Mentor PhD candidates in AI ethics and responsible innovation

Qualifications

  • PhD in AI/ML, Computational Physics, or related field with 5+ years industry experience
  • Proven track record in scaling AI systems to 10M+ user deployments
  • Deep expertise in quantum computing architectures and neural-symbolic integration
  • Published research in top-tier journals (Nature, Science, NeurIPS)
  • Experience with UN/WHO technology policy advisory boards
  • Fluency in Python, TensorFlow, and quantum programming frameworks
  • Portfolio demonstrating AI solutions for climate or humanitarian impact

Required Skills

AI Strategy Quantum Computing Machine Learning Ethics Governance Policy Advisory Research Leadership Systems Architecture

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