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2026 AI Futurist & Innovation Lead

QuantumLeap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join QuantumLeap Technologies at the forefront of innovation as we architect the future of artificial intelligence. We seek a visionary 2026 AI Futurist & Innovation Lead to define the next generation of AI-powered solutions that will reshape industries by 2026. This role combines strategic foresight with cutting-edge technical execution to develop transformative products at the intersection of quantum computing, neural networks, and sustainable technology.

As a key member of our Future Innovation Lab, you'll collaborate with Nobel laureates, Silicon Valley pioneers, and global research institutions to create the blueprint for tomorrow's AI ecosystem. We offer unparalleled resources, a culture of intellectual curiosity, and the opportunity to leave a legacy that will impact billions.

Responsibilities

  • Develop and execute the 2026 AI innovation roadmap, identifying disruptive technologies with 5+ year market impact
  • Lead cross-functional teams in prototyping next-gen AI systems using quantum-enhanced machine learning
  • Establish strategic partnerships with academic institutions and government agencies for future-focused R&D
  • Design ethical frameworks for autonomous AI systems deployed in critical infrastructure
  • Present visionary concepts to C-suite executives and industry think tanks
  • Manage $15M+ innovation budget for experimental projects
  • Pioneer sustainable AI practices to achieve carbon-negative computing by 2026

Qualifications

  • PhD in Computer Science, AI, or related field with 10+ years of experience in emerging tech
  • Proven track record of shipping transformative products with 5+ year vision
  • Expertise in quantum computing, neural architecture search, and federated learning
  • Published research in top-tier AI journals (NeurIPS, ICML) or equivalent industry impact
  • Experience leading teams of 15+ engineers across multiple geographies
  • Deep understanding of AI ethics frameworks and regulatory landscapes
  • Ability to communicate complex technical concepts to non-technical stakeholders
  • Portfolio demonstrating 3+ projects with $10M+ commercial impact

Required Skills

AI Strategy Quantum Computing Neural Architecture Machine Learning Futurism Ethical AI R&D Leadership Systems Thinking

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