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Information Technology 🏢 Full Time ⭐️ Verified

AI Innovation Strategist

QuantumLeap Labs
Austin
Estimated Salary
USD 175.000 – USD 220.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join QuantumLeap Labs at the forefront of technological evolution as we redefine the future. We're seeking an AI Innovation Strategist to architect breakthrough solutions that will shape the 2026 digital landscape. This role blends visionary leadership with technical expertise to transform emerging AI capabilities into tangible business value.

As a key architect of our 2026 roadmap, you'll collaborate with cross-functional teams to pioneer next-gen AI applications that drive market disruption. Your strategic insights will directly influence our product development pipeline and position QuantumLeap as an industry trailblazer in the rapidly evolving AI ecosystem.

Responsibilities

  • Develop and execute AI innovation roadmaps aligned with 2026 technological forecasts
  • Lead cross-functional teams to prototype and validate breakthrough AI solutions
  • Conduct market analysis and competitive research to identify emerging AI opportunities
  • Translate complex technical concepts into actionable business strategies
  • Drive AI ethics and responsible implementation frameworks
  • Collaborate with venture partners to incubate next-gen AI startups
  • Present innovation strategies to C-suite and board stakeholders

Qualifications

  • Master's degree in Computer Science, AI, or related field (PhD preferred)
  • 8+ years in AI/ML with 3+ years in strategic innovation roles
  • Proven track record of launching AI products with market impact
  • Expertise in transformer architectures, generative AI, and edge computing
  • Strong business acumen with experience in tech commercialization
  • Published research in top-tier AI conferences (NeurIPS, ICML, etc.)
  • Deep understanding of global AI regulatory landscapes
  • Exceptional communication skills for technical and non-technical audiences

Required Skills

Artificial Intelligence Machine Learning Strategic Planning Product Innovation Data Science Generative AI Ethics in AI Tech Commercialization

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