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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist Strategist 2026

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Horizon Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking an AI Futurist Strategist to architect tomorrow's intelligent systems today. This pivotal role demands visionary leadership in shaping AI-driven business models, ethical frameworks, and sustainable innovation ecosystems. Collaborate with cross-disciplinary teams to translate cutting-edge research into market-ready solutions that redefine industry standards.

Why Nexus Horizon Labs? We're a collective of pioneers building the future through quantum computing, neural interfaces, and autonomous systems. Our culture thrives on intellectual curiosity, ethical innovation, and audacious problem-solving. Enjoy unparalleled resources, flexible work arrangements, and the opportunity to leave an indelible mark on humanity's technological trajectory.

Responsibilities

  • Architect AI strategy roadmaps for 2026-2030, aligning with emerging tech trends
  • Lead cross-functional teams in developing ethical AI governance frameworks
  • Identify and capitalize on disruptive tech opportunities in quantum/neural domains
  • Present visionary concepts to C-suite executives and industry thought leaders
  • Partner with R&D to prototype next-gen AI applications
  • Monitor global tech policy shifts and their strategic implications
  • Develop talent pipelines for specialized AI roles in emerging fields

Qualifications

  • 10+ years in AI/ML strategy or related futurism role
  • Proven track record in scaling AI initiatives to enterprise level
  • Deep expertise in quantum computing, neuromorphic systems, or AGI development
  • Published thought leadership in peer-reviewed journals or major tech forums
  • Experience advising Fortune 500 companies on digital transformation
  • Strong command of ethical AI frameworks and regulatory landscapes
  • PhD in Computer Science, Cognitive Science, or related field preferred

Required Skills

Artificial Intelligence Strategic Planning Quantum Computing Neuromorphic Engineering Ethical AI Futurism Enterprise Architecture Data Science

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