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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist Strategist

Nexus Horizon Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join Nexus Horizon Labs at the forefront of 2026 technological disruption. We're seeking an AI Futurist Strategist to architect our next-gen innovation roadmap and transform how humanity interacts with emerging technologies. This visionary role requires a blend of technical acumen and strategic foresight to position our company as the undisputed leader in the 2026 digital landscape. You'll collaborate with C-suite executives, lead cross-functional teams, and shape products that will define the next decade.

What You'll Achieve:
• Design AI-powered future scenarios for 2026 market evolution
• Lead quantum computing integration strategies
• Pioneer human-AI collaboration frameworks
• Drive ethical AI governance policies
• Mentor a team of future-focused innovators

Responsibilities

  • Develop and execute 2026 technology foresight roadmaps
  • Lead cross-functional teams in prototyping next-gen AI solutions
  • Analyze emerging tech trends (quantum, bio-AI, neural interfaces)
  • Present strategic recommendations to executive stakeholders
  • Establish partnerships with academic research institutions
  • Drive innovation sprints focused on 2026 market readiness
  • Author thought leadership on technological singularity preparation

Qualifications

  • 10+ years in AI/ML strategy with Fortune 500 experience
  • Deep expertise in quantum computing and neural networks
  • Proven track record of scaling AI initiatives to $100M+ ARR
  • PhD in Computer Science or related field preferred
  • Published research in top-tier AI/ethics journals
  • Experience with regulatory frameworks for autonomous systems
  • Exceptional communication skills for executive-level presentations
  • Portfolio demonstrating 3+ future-tech commercialization projects

Required Skills

AI Strategy Quantum Computing Neural Networks Future Forecasting Ethics Machine Learning Tech Innovation

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