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AI Futurist & Strategic Innovation Lead

InnovateTomorrow Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join InnovateTomorrow Labs as we architect the future of 2026. We seek a visionary AI Futurist to bridge bleeding-edge technology with human-centric innovation. Lead cross-disciplinary teams in prototyping next-generation AI systems, from quantum-enhanced machine learning to ethical autonomous frameworks. Shape our R&D roadmap while ensuring solutions align with emerging societal needs and regulatory landscapes. This role demands both technical depth and strategic foresight to transform theoretical possibilities into tangible value.

Responsibilities

  • Design and oversee development of AI prototypes for 2026-era applications (e.g., neuromorphic computing, AGI safety frameworks)
  • Collaborate with quantum computing teams to hybridize classical and quantum ML architectures
  • Lead scenario planning for AI disruption in healthcare, climate, and autonomous systems
  • Develop ethical governance frameworks for next-gen AI deployment
  • Present strategic innovation roadmaps to C-suite and venture partners
  • Mentor researchers in emerging AI paradigms (e.g., generative agents, synthetic data)
  • Secure $5M+ in R&D grants through NSF, DARPA, and private consortia

Qualifications

  • PhD in AI/ML, Quantum Computing, or related field with 7+ years industry experience
  • Proven track record publishing at NeurIPS, ICML, or Nature Machine Intelligence
  • Expertise in transformer architectures, reinforcement learning, and quantum algorithms
  • Experience leading AI ethics initiatives (e.g., bias mitigation, explainable AI)
  • Deep understanding of 2030 technology foresight methodologies
  • Portfolio of deployed AI systems impacting $100M+ markets
  • Strong network ties with academic institutions and national labs

Required Skills

AI/ML Quantum Computing Strategic Innovation Foresight Methodology Ethics Generative AI Reinforcement Learning Transformers

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