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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist Lead

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join Nexus Innovations as we pioneer the technological frontier of 2026. We're seeking a visionary AI Futurist Lead to architect our next-generation AI ecosystem and shape the future of human-machine collaboration. This senior role demands strategic foresight, technical expertise, and the ability to translate emerging trends into actionable innovation. You'll lead cross-functional teams in developing AI solutions that redefine industry standards while ensuring ethical deployment and sustainable growth.

What you'll achieve:

  • Define and execute the company's 2026 AI roadmap
  • Drive breakthrough projects in generative AI and quantum computing
  • Establish thought leadership through industry publications and conferences
  • Mentor the next generation of AI pioneers

Responsibilities

  • Architect next-gen AI frameworks for 2026 technological landscape
  • Lead research in emergent AI paradigms (neuromorphic computing, AGI precursors)
  • Collaborate with C-suite to align AI strategy with business objectives
  • Develop ethical AI governance frameworks for autonomous systems
  • Drive innovation sprints with engineering and product teams
  • Present strategic roadmaps to stakeholders and investors
  • Monitor global AI policy developments and adapt strategy accordingly

Qualifications

  • 10+ years in AI/ML with 5+ years in strategic leadership
  • PhD or equivalent in Computer Science, Cognitive Science, or related field
  • Published research in top-tier AI conferences (NeurIPS, ICML)
  • Expertise in quantum machine learning and neuromorphic systems
  • Proven track record of scaling AI initiatives to enterprise level
  • Deep understanding of 2026 technology trends and regulatory landscape
  • Certified in AI Ethics (IEEE, ACM) and risk management frameworks

Required Skills

AI Strategy Machine Learning Quantum Computing Neuromorphic Systems Ethics in AI Future Trend Analysis Strategic Planning Innovation Management

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