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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist & 2026 Tech Visionary

Quantum Leap Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Quantum Leap Dynamics at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking an AI Futurist to architect the next generation of intelligent systems that will reshape industries. This role blends strategic foresight with hands-on innovation, requiring you to anticipate technological trends, develop AI roadmaps, and lead cross-functional teams in creating breakthrough products.

Our ideal candidate thrives at the intersection of science and imagination, with a passion for transforming theoretical concepts into tangible innovations. You'll work in our state-of-the-art San Francisco lab, collaborating with Nobel laureates and Silicon Valley visionaries to solve humanity's most complex challenges.

Responsibilities

  • Develop 5-year AI strategic roadmaps aligned with 2026 technological projections
  • Lead research initiatives in generative AI, quantum computing, and neural interfaces
  • Design ethical frameworks for autonomous systems and sentient AI development
  • Partner with C-suite executives to integrate futuristic technologies into business operations
  • Present visionary concepts to global tech councils and industry thought leaders
  • Mentor emerging AI researchers and foster innovation through hackathons
  • Secure patents for proprietary AI architectures and predictive algorithms

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Proven track record in developing production-level generative AI systems
  • Deep expertise in quantum machine learning and neuromorphic computing
  • Published research in top-tier AI journals (NeurIPS, ICML, ICLR)
  • Strong background in AI ethics, bias mitigation, and responsible AI development
  • Experience leading technical teams through product lifecycle from concept to deployment
  • Ability to translate complex technical concepts for diverse stakeholders

Required Skills

Artificial Intelligence Machine Learning Quantum Computing Strategic Foresight Ethical AI Neural Interfaces Generative AI Research Leadership

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