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AI Futurist Lead (2026 Vision)

Nexus Innovations
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we architect the future of human-AI collaboration. We seek an AI Futurist Lead to spearhead our 2026 strategic roadmap, driving innovation at the intersection of quantum computing, neuro-interfaces, and autonomous systems. This pivotal role demands visionary leadership to transform abstract possibilities into tangible solutions that redefine industries.

As a cornerstone of our R&D division, you'll collaborate with Nobel laureates, government think tanks, and Fortune 500 partners to pioneer ethical AI frameworks. Your work will directly influence global policy on AI governance and shape the technological landscape for the next decade.

Responsibilities

  • Develop and execute the 2026 AI strategic vision roadmap with measurable KPIs
  • Lead cross-functional teams in prototyping quantum-optimized neural networks
  • Advise C-suite on emerging tech disruptors and regulatory implications
  • Forge strategic partnerships with MIT, Stanford, and global AI consortiums
  • Author white papers on AGI safety and human-AI symbiosis
  • Secure $10M+ in innovation grants from DARPA and NSF
  • Mentor PhD fellows in next-gen AI ethics and explainability

Qualifications

  • PhD in AI, Computer Science, or Futurism with 10+ years experience
  • Published research in Nature/Science on quantum machine learning
  • Proven track record of scaling AI initiatives to $100M+ valuation
  • Expertise in federated learning and differential privacy frameworks
  • Deep understanding of EU AI Act and US federal AI policy
  • Fluency in Python, TensorFlow, and quantum programming languages
  • Keynote speaker at 3+ major global AI conferences (NeurIPS, ICML)
  • Certified in AI Governance (AIGC) and Ethics Auditing

Required Skills

Artificial Intelligence Quantum Computing Strategic Foresight Machine Learning Neuro-Interfaces AI Governance Innovation Management Policy Analysis

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