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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist & 2026 Tech Strategist

Innovate Tomorrow Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join Innovate Tomorrow Labs at the forefront of technological evolution as we shape the digital landscape of 2026. We seek a visionary AI Futurist to architect the next generation of intelligent systems and drive our innovation roadmap for the post-quantum era. This role combines cutting-edge research with strategic foresight to transform industries through AI, blockchain, and human-machine symbiosis. If you thrive at the intersection of science and strategy and are passionate about building the future, this is your calling.

Responsibilities

  • Lead cross-functional R&D initiatives for 2026-era AI frameworks and neural interfaces
  • Develop patent-pending algorithms for quantum-resistant cryptography and autonomous decisioning systems
  • Partner with C-suite executives to integrate predictive analytics into enterprise transformation
  • Represent the company at global tech summits and publish thought leadership on AI ethics
  • Mentor a team of 12 researchers in emerging technologies including synthetic biology and neuromorphic computing
  • Architect ethical AI governance frameworks for Fortune 500 clients

Qualifications

  • PhD in Computer Science/AI or equivalent with 8+ years in R&D leadership
  • Published research in Nature/Science journals on machine learning or computational theory
  • Proven track record deploying production AI systems with >99.9% accuracy
  • Deep expertise in quantum computing architectures and post-quantum cryptography
  • Experience advising Fortune 500 companies on digital transformation strategies
  • Fluency in Python, TensorFlow, and quantum programming languages (Q#)
  • Strong background in ethical AI frameworks and regulatory compliance (GDPR, CCPA)

Required Skills

AI Strategy Quantum Computing Neural Interfaces Predictive Analytics Blockchain Ethics Post-Quantum Cryptography Machine Learning R&D Leadership Enterprise Transformation

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