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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist & Innovation Strategist

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

Job Description

Join Nexus Innovations at the forefront of technological evolution as our AI Futurist & Innovation Strategist. This visionary role requires you to architect the future of AI integration, develop 2026+ roadmaps, and lead transformative initiatives that redefine industries. You'll collaborate with C-suite executives, pioneer breakthrough research, and ensure our technological ecosystem anticipates global trends while maintaining ethical integrity. This is your chance to shape how humanity interacts with artificial intelligence in the coming decade.

Responsibilities

  • Design and implement AI strategic frameworks for 2026-2030 technological landscapes
  • Lead cross-functional innovation sprints to prototype next-gen AI applications
  • Analyze emerging tech trends (quantum computing, neural interfaces, etc.) for competitive advantage
  • Develop ethical AI governance protocols aligned with global regulatory frameworks
  • Present future-state scenarios to investors and board members using data-driven storytelling
  • Mentor AI research teams while maintaining cutting-edge technical expertise
  • Forge partnerships with academic institutions and government innovation labs

Qualifications

  • PhD or Master's in AI/ML, Computer Science, or Future Studies with 8+ years experience
  • Proven track record of developing long-term tech roadmaps for Fortune 500 companies
  • Expertise in generative AI, neural networks, and predictive modeling frameworks
  • Deep understanding of AI ethics, bias mitigation, and responsible innovation
  • Exceptional strategic planning and scenario-building capabilities
  • Published thought leadership in AI futurism or adjacent fields
  • Proficiency in Python, TensorFlow, and emerging tech visualization tools

Required Skills

Artificial Intelligence Strategic Planning Machine Learning Future Studies Data Science Innovation Management Ethical AI Quantum Computing

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