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AI Futurist Strategist (2026 Vision Lead)

Nexus Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Innovations as we redefine tomorrow's landscape. We're seeking a visionary AI Futurist Strategist to architect our 2026 roadmap at the intersection of quantum computing, neural interfaces, and autonomous systems. This pivotal role demands a blend of technical acumen and strategic foresight to position our company at the vanguard of the AI revolution. You'll lead cross-functional teams in developing next-generation AI frameworks while ensuring ethical implementation and market dominance.

Responsibilities

  • Architect the 2026 AI vision, integrating quantum computing and neural interface technologies
  • Lead development of autonomous decision-making frameworks for critical infrastructure systems
  • Collaborate with C-suite executives to align AI initiatives with global expansion strategies
  • Establish ethical AI governance protocols ensuring compliance with emerging international standards
  • Drive R&D investments in generative AI and predictive analytics for industrial applications
  • Mentor a team of AI researchers and engineers in cutting-edge machine learning methodologies
  • Represent the company at global AI summits and regulatory policy discussions

Qualifications

  • PhD in Computer Science, AI, or Quantum Computing with 10+ years of strategic leadership
  • Proven track record of deploying enterprise-scale AI systems in regulated industries
  • Expertise in federated learning, reinforcement learning, and explainable AI frameworks
  • Demonstrated success in securing $50M+ AI infrastructure investments
  • Published research in Nature/Science journals on AI ethics or quantum machine learning
  • Deep understanding of global AI policy landscapes (EU AI Act, US Executive Orders)
  • Proficiency in deploying AI on quantum computing platforms (IBM Q, D-Wave)

Required Skills

AI Strategy Quantum Computing Neural Interfaces Autonomous Systems Ethics Governance R&D Leadership Predictive Analytics Federated Learning

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