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AI Innovation Strategist 2026

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of technological evolution as we pioneer the next wave of AI-driven solutions for 2026 and beyond. We're seeking a visionary AI Innovation Strategist to architect our future roadmap, transforming cutting-edge research into scalable industry applications. This role sits at the intersection of artificial intelligence, quantum computing, and human-centered design, where your expertise will directly shape how businesses and societies adapt to the exponential technological shifts of the coming decade.

In this pivotal position, you'll collaborate with Nobel laureates, industry disruptors, and government think tanks to develop frameworks for responsible AI deployment. Our San Francisco hub offers unparalleled resources including a quantum computing lab, neuro-interfaces testing facility, and exclusive partnerships with NASA and MIT. This is more than a jobβ€”it's your opportunity to define the technological landscape of the mid-21st century.

Responsibilities

  • Architect 2026+ AI innovation roadmap integrating quantum computing, neuromorphic systems, and generative AI
  • Lead cross-functional R&D teams to develop patent-pending AI frameworks for climate modeling and personalized medicine
  • Establish strategic partnerships with academic institutions and government agencies for technology governance
  • Design ethical AI deployment protocols ensuring alignment with UN Sustainable Development Goals
  • Present future technology scenarios to C-suite executives and board members quarterly
  • Manage $5M+ innovation budget for experimental projects in decentralized AI networks
  • Author thought leadership papers for Nature Technology Review and IEEE journals

Qualifications

  • PhD in AI, Quantum Computing, or related field with 8+ years industry experience
  • Proven track record of deploying production-level AI systems at scale
  • Deep expertise in quantum machine learning and post-classical computing paradigms
  • Published research in top-tier journals (NeurIPS, Science, Nature) on AI ethics or AGI safety
  • Experience advising Fortune 500 companies on technology transformation strategies
  • Strong understanding of regulatory landscapes for AI in healthcare, finance, and climate sectors
  • Exceptional communication skills for translating complex concepts to diverse stakeholders
  • Portfolio of deployed AI systems with measurable societal impact

Required Skills

AI Strategy Quantum Computing Machine Learning Future Tech Forecasting Ethical AI R&D Leadership Quantum Machine Learning Generative AI Technology Governance Innovation Management

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