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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist Lead

Horizon Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Horizon Dynamics at the forefront of technological evolution as we shape the landscape of 2026 and beyond. We're seeking a visionary AI Futurist Lead to architect next-generation intelligent systems that will redefine industries. This role offers unparalleled opportunities to pioneer quantum-enhanced machine learning frameworks while collaborating with Nobel laureates and industry disruptors. Our state-of-the-art innovation hub in downtown San Francisco provides an environment where groundbreaking ideas become reality.

As a key architect of our 2026 technology roadmap, you'll influence trillions in market value through predictive modeling of AI-driven societal shifts. We offer comprehensive benefits including equity packages, unlimited learning stipends, and flexible remote work options for global impact.

Responsibilities

  • Architect quantum-resistant AI frameworks for 2026 deployment
  • Lead cross-functional teams in developing autonomous decision systems
  • Forecast technological convergence points using predictive analytics
  • Design ethical AI governance frameworks for regulatory compliance
  • Drive innovation sprints with Fortune 500 partner ecosystems
  • Publish thought leadership in peer-reviewed journals
  • Mentor next-generation AI specialists in our fellowship program

Qualifications

  • PhD in Computer Science/AI with 8+ years applied experience
  • Published research in top-tier AI conferences (NeurIPS, ICML)
  • Expertise in transformer architectures and quantum computing
  • Proven track record scaling AI systems to 10M+ user bases
  • Deep understanding of regulatory landscapes (GDPR, CCPA)
  • Proficiency in Python, TensorFlow, and quantum programming languages
  • Certified in AI ethics frameworks (IEEE, ACM)

Required Skills

AI Machine Learning Quantum Computing Strategic Planning Ethics TensorFlow Python Research

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