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Artificial Intelligence 🏢 Full Time ⭐️ Verified

AI Futurist & Innovation Strategist

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

Job Description

Join Nexus Innovations at the forefront of technological evolution as we shape the future for 2026 and beyond. We're seeking a visionary AI Futurist to lead our innovation strategy and develop cutting-edge solutions that will redefine industries. This role combines deep technical expertise with strategic foresight to create actionable roadmaps for emerging technologies.

As a key member of our leadership team, you'll collaborate with C-suite executives, research labs, and global partners to identify transformative opportunities. You'll pioneer new methodologies for AI integration, ethical technology deployment, and sustainable innovation. If you're passionate about building tomorrow's world today, this is your calling.

Responsibilities

  • Develop and execute 2026-focused AI innovation roadmaps aligned with global market trends
  • Lead cross-functional teams to prototype and deploy next-generation AI solutions
  • Conduct horizon scanning for emerging technologies (quantum computing, biotech fusion, etc.)
  • Establish ethical frameworks for AI deployment and responsible innovation
  • Present strategic vision to investors, board members, and industry consortiums
  • Build partnerships with academic institutions and R&D centers
  • Mentor talent in future-focused technology disciplines

Qualifications

  • PhD or equivalent in AI/ML, Computer Science, or Future Studies
  • 10+ years in tech leadership with 5+ years in strategic innovation roles
  • Published research in top-tier AI/ethics journals or conferences
  • Expertise in generative AI, neural networks, and predictive modeling
  • Proven track record of scaling AI initiatives from concept to production
  • Deep understanding of global tech policy and regulatory landscapes
  • Exceptional communication skills for technical and non-technical audiences

Required Skills

AI Strategy Machine Learning Future Forecasting Ethical AI Innovation Management Quantum Computing Cross-functional Leadership Tech Policy

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