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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist Strategist 2026

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

Job Description

Join Nexus Innovations at the forefront of technological evolution as we architect the 2026 digital landscape. We seek a visionary AI Futurist Strategist to lead our next-generation innovation initiatives, transforming theoretical possibilities into market-defining solutions. This role demands a blend of technical expertise, strategic foresight, and executive leadership to shape our AI roadmap for the post-quantum era.

You'll collaborate with C-suite executives, research labs, and global partners to develop frameworks that integrate emerging technologies—from neural interfaces to decentralized AI—into scalable business ecosystems. Our ideal candidate thrives at the intersection of human-centric design and exponential tech trends.

Responsibilities

  • Lead cross-functional teams in designing AI roadmaps for 2026+ tech adoption
  • Identify and evaluate emerging technologies (quantum computing, neuromorphic AI, etc.) for commercial viability
  • Develop strategic frameworks for ethical AI deployment in regulated industries
  • Present futuristic visions to C-suite and board stakeholders with data-driven scenarios
  • Partner with R&D to prototype next-gen AI systems for real-world applications
  • Drive innovation workshops with Fortune 500 clients on future-state digital transformation
  • Author thought leadership papers on societal impact of 2026 technology trends

Qualifications

  • 10+ years in AI/ML strategy with 5+ years in executive leadership
  • Proven experience with quantum computing or neuromorphic systems
  • Published research on AI ethics or future technology forecasting
  • Track record of scaling AI initiatives in regulated sectors (healthcare/finance)
  • MSc/PhD in Computer Science, AI, or Futures Studies
  • Proficiency in scenario planning frameworks (e.g., Delphi, STEEP)
  • Strong network with academic AI research institutions (MIT, Stanford, etc.)
  • Certification in AI governance frameworks (e.g., NIST AI RMF)

Required Skills

AI Strategy Quantum Computing Futurism Neural Interfaces Ethical AI Scenario Planning C-Suite Communication R&D Leadership

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