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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist & Strategic Innovation Lead

Nexus Horizons Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Join Nexus Horizons Inc. at the forefront of technological evolution. We're seeking a visionary AI Futurist to architect our innovation roadmap for 2026 and beyond. In this pivotal role, you'll translate emerging AI paradigms into actionable business strategies, bridging the gap between theoretical breakthroughs and market-ready applications. Our dynamic team thrives on quantum computing, neural networks, and human-AI symbiosis, and we need your expertise to navigate the next frontier of digital transformation.

As a thought leader, you'll collaborate with C-suite executives to preempt industry shifts, pioneer ethical AI frameworks, and drive R&D initiatives that redefine competitive advantage. This position offers unparalleled exposure to cutting-edge research labs, government partnerships, and global tech ecosystems. If you're passionate about shaping tomorrow's reality today, this is your calling.

Responsibilities

  • Develop 2026+ AI innovation roadmaps aligning with business objectives and market trends
  • Lead cross-functional teams to prototype next-gen AI solutions (quantum ML, AGI systems)
  • Partner with academia/government on $100M+ grant-funded research initiatives
  • Establish ethical AI governance frameworks for autonomous decision-making systems
  • Deliver keynote presentations at global tech summits (Web Summit, CES, etc.)
  • Mentor PhD researchers in applied AI and computational futurism

Qualifications

  • PhD in Computer Science/AI or equivalent with 10+ years in R&D leadership
  • Published research in top-tier AI journals (Nature AI, NeurIPS)
  • Proven track record in scaling AI products to $50M+ ARR
  • Expertise in quantum computing architectures and neural-symbolic AI
  • Experience advising Fortune 500 boards on technology disruption
  • Deep understanding of regulatory landscapes (EU AI Act, US AI Bill of Rights)

Required Skills

AI Strategy Quantum Computing Neural Networks Futurism R&D Leadership Ethical AI Computational Theory Policy Advisory

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