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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist & Strategy Lead

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we shape the AI landscape of 2026. We're seeking a visionary AI Futurist & Strategy Lead to architect our next-generation AI frameworks and guide industry transformation. This senior role demands a blend of technical expertise, strategic foresight, and ethical innovation to prepare humanity for the AI-driven decade ahead.

Why Nexus Labs? We're a moonshot research lab pioneering ethical AI applications in healthcare, climate science, and human augmentation. Our cross-disciplinary teams work at the intersection of quantum computing, neural networks, and predictive analytics to solve humanity's grand challenges.

Responsibilities

  • Design and implement AI roadmaps for 2026+ technological convergence
  • Lead cross-functional teams in developing ethical AI governance frameworks
  • Conduct horizon scanning for emerging AI technologies (quantum ML, neuromorphic computing)
  • Forge strategic partnerships with academic institutions and global AI councils
  • Translate complex AI concepts into actionable business strategies
  • Author thought leadership on AI's societal impact and ethical implications
  • Oversee AI innovation sprints targeting 2026 breakthrough milestones

Qualifications

  • PhD in AI, Computer Science, or related field (Master's with exceptional experience)
  • 10+ years in AI research with 5+ years in strategic planning
  • Published work on AI ethics or future technology forecasting
  • Expertise in quantum computing, neural architecture search, or explainable AI
  • Proven track record leading cross-functional tech initiatives
  • Deep understanding of global AI policy landscapes and regulatory frameworks
  • Exceptional communication skills for technical/non-technical audiences

Required Skills

Artificial Intelligence Machine Learning Strategic Planning Quantum Computing Ethics Future Forecasting Neural Networks AI Governance

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