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Information Technology 🏢 Full Time ⭐️ Verified

AI Futurist Strategist - 2026 Vision

Quantum Leap Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Quantum Leap Labs at the forefront of technological evolution. We're seeking an AI Futurist Strategist to architect our 2026 innovation roadmap, bridging cutting-edge research with market-ready solutions. This pivotal role demands visionary thinking to transform theoretical AI advancements into transformative business applications.

As a key architect of our 2026 vision, you'll collaborate with world-class researchers to anticipate societal shifts, ethical AI frameworks, and emerging technologies. You'll shape product roadmaps that position Quantum Leap as the industry leader in the next technological paradigm shift.

Responsibilities

  • Develop comprehensive 2026 AI technology strategy aligned with market trends and regulatory landscapes
  • Lead cross-functional teams to prototype and validate futuristic AI solutions
  • Anticipate ethical implications and societal impacts of emerging AI technologies
  • Forge strategic partnerships with research institutions and industry pioneers
  • Translate complex technical concepts into actionable business roadmaps
  • Present visionary frameworks to executive stakeholders and external partners
  • Monitor global AI research trends and regulatory developments

Qualifications

  • PhD in AI, Computer Science, or related field with 5+ years industry experience
  • Proven track record in developing long-term technology roadmaps
  • Deep expertise in generative AI, quantum computing, or neuromorphic systems
  • Strong ethical AI framework development experience
  • Exceptional strategic communication and stakeholder management skills
  • Published research in top-tier AI/ML conferences
  • Experience with scenario planning and technology forecasting methodologies

Required Skills

Artificial Intelligence Strategic Planning Technology Forecasting Quantum Computing Generative AI Ethics Machine Learning Research

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