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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist Strategist

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

Job Description

Join Nexus Dynamics at the forefront of technological evolution as we shape the AI-powered landscape of 2026. We're seeking an innovative AI Futurist Strategist to architect next-generation intelligent systems that will redefine industries worldwide. This pivotal role blends cutting-edge research with practical implementation, requiring visionary leadership and technical excellence. You'll collaborate with world-class engineers, data scientists, and industry disruptors to develop AI roadmaps that solve humanity's most pressing challenges.

Our dynamic environment offers unparalleled opportunities to influence the trajectory of artificial intelligence while working on projects that will impact billions. If you're passionate about creating ethical, scalable AI solutions and thrive in ambiguity, this is your moment to leave an indelible mark on the future.

Responsibilities

  • Architect AI roadmaps aligning with 2026 technological convergence trends
  • Lead cross-functional teams in developing generative AI models for enterprise applications
  • Conduct horizon scanning to identify emerging AI paradigms and disruption vectors
  • Establish ethical AI governance frameworks ensuring responsible innovation
  • Partner with C-suite executives to integrate AI strategy into corporate vision
  • Drive AI adoption initiatives across 15+ industry verticals
  • Present findings at global tech summits and publish thought leadership

Qualifications

  • 15+ years in AI/ML with 5+ years in strategic leadership
  • PhD in Computer Science, Cognitive Systems, or equivalent experience
  • Published research in top-tier AI journals (NeurIPS, ICML)
  • Expertise in transformer architectures, quantum computing interfaces, and neuromorphic systems
  • Proven track record scaling AI initiatives to $100M+ revenue impact
  • Deep understanding of global AI regulatory landscapes
  • Fluency in Python, PyTorch, and distributed computing frameworks
  • Certified in Responsible AI Governance (RAIG)

Required Skills

AI Strategy Machine Learning Quantum Computing Generative AI Ethics Leadership Research Futurism

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