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AI Futurist & Strategy Lead

Innovate Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Innovate Future Labs at the forefront of technological evolution as our AI Futurist & Strategy Lead. You'll architect the blueprint for AI-driven transformations that will define 2026 and beyond, shaping how businesses and societies adapt to exponential technological change. This visionary role requires a blend of deep technical expertise, strategic foresight, and the ability to translate complex AI trends into actionable business roadmaps.

We're seeking a thought leader who thrives at the intersection of emerging AI capabilities, market disruption, and human-centric design. You'll collaborate with C-suite executives, research labs, and government agencies to navigate the ethical and operational implications of next-generation AI systems while driving innovation that creates measurable value.

Responsibilities

  • Develop and execute AI transformation roadmaps for Fortune 500 clients, aligning with 2026 technology adoption forecasts
  • Lead cross-functional teams in prototyping AI solutions for quantum computing, neural interfaces, and autonomous systems
  • Author thought leadership on AI's societal impact, including ethics, workforce displacement mitigation strategies
  • Partner with research institutions to identify and commercialize breakthrough AI capabilities
  • Design governance frameworks for AI deployment in regulated industries (healthcare, finance, defense)
  • Present strategic insights at global tech summits and publish industry whitepapers

Qualifications

  • 10+ years in AI/ML strategy, with 5+ years in executive leadership at tech-forward organizations
  • Proven track record of launching AI products with >$100M revenue impact
  • Expertise in generative AI, reinforcement learning, and emerging hardware acceleration
  • Deep understanding of AI ethics frameworks (EU AI Act, NIST AI RMF)
  • Published author or keynote speaker at major AI conferences (NeurIPS, AI Summit)
  • Advanced degree in Computer Science, AI, or related field (PhD preferred)
  • Experience advising policymakers on AI regulatory strategy

Required Skills

AI Strategy Machine Learning Generative AI Ethics Quantum Computing Future Forecasting Executive Leadership Tech Innovation

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