AI Innovation Architect

Summary: Drive AI-driven R&D and disruptive solutions.

Responsibilities:

  • Identify emerging AI trends (e.g., generative AI, quantum ML).
  • Prototype novel applications and secure IP patents.
  • Partner with startups/academia for co-innovation.
    Skills:
  • Creativity; experience with hackathons/PoC development.

Key Process: AI-Driven R&D and Ideation

  • Inputs: Market trends, emerging technologies, business challenges.
  • Activities:
    • Prototype AI applications (e.g., generative AI).
    • Partner with startups for co-innovation.
    • File patents for novel AI solutions.
  • Outputs: Proof-of-concepts, IP portfolios, innovation roadmaps.
  • Stakeholders: R&D teams, venture capitalists, product leaders.
  • Tools: Generative AI tools, Jupyter notebooks, patent databases.

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