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AI Futurist Lead

Nexus Innovations Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Innovations Inc. at the forefront of technological evolution as our AI Futurist Lead. We're seeking visionary pioneers to architect the next generation of artificial intelligence systems that will redefine industries by 2026. This role demands strategic foresight, technical mastery, and the ability to translate complex AI concepts into actionable roadmaps for global impact. You'll collaborate with world-class researchers, engineers, and industry disruptors to shape the future of human-machine collaboration.

Why Nexus? We're a Silicon Valley trailblack investing $500M in AI R&D, offering unparalleled resources, patent opportunities, and equity in breakthrough technologies. Our culture thrives on intellectual curiosity, ethical innovation, and boundary-pushing problem-solving.

Responsibilities

  • Develop 5-year strategic AI roadmaps aligning with market disruption forecasts
  • Lead cross-functional teams in prototyping next-gen AI systems (AGI, quantum AI)
  • Identify emerging tech trends and competitive threats through global research networks
  • Translate AI capabilities into enterprise solutions for Fortune 500 partners
  • Secure $10M+ in R&D funding through visionary proposals
  • Present findings at premier tech summits (Web Summit, CES)
  • Mentor AI ethics committees on responsible innovation frameworks

Qualifications

  • PhD in AI, Machine Learning, or Computational Science (10+ years experience)
  • Proven track record shipping production AI systems with measurable impact
  • Deep expertise in transformer architectures, neural-symbolic AI, and quantum computing
  • Published research in top-tier venues (NeurIPS, Nature AI)
  • Experience advising C-suite executives on AI strategy
  • Portfolio demonstrating 2026-forward AI solutions
  • Strong network with global AI research institutions
  • Exceptional communication for technical and non-technical stakeholders

Required Skills

Artificial Intelligence Machine Learning Strategic Planning Quantum Computing Neural Networks Ethical AI Future Forecasting R&D Leadership

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