Manager of Artificial Intelligence

4 weeks ago


United Arab Emirates Jex - Recruitment for scaling businesses Full time

Job: AI Evangelist

About the Role:

We are seeking a passionate and knowledgeable AI Evangelist to champion the adoption and effective use of artificial intelligence (AI) technologies. As an AI Evangelist, you will be a key player in bridging the gap between AI innovation and real-world application, acting as a thought leader and advocate for AI-driven solutions. You'll engage with internal teams, external partners, and the broader community to promote awareness, educate stakeholders, and foster adoption of AI tools and methodologies.

Key Responsibilities:

  1. Advocacy and Evangelism
  • Promote the benefits and potential of AI to diverse audiences, including developers, business leaders, and industry professionals.
  • Represent the organization at conferences, webinars, meetups, and other industry events.
  • Build and maintain an online presence through blogs, social media, and technical forums to share insights and developments in AI.
Education and Enablement
  • Create and deliver educational content, such as workshops, tutorials, whitepapers, and case studies, to help stakeholders understand AI technologies.
  • Act as a liaison between technical and non-technical audiences, translating complex AI concepts into accessible language.
  • Support training initiatives to upskill teams and partners in AI adoption.
Community Building
  • Foster a vibrant AI community by engaging with developers, startups, and industry groups.
  • Encourage collaboration and knowledge-sharing among stakeholders.
  • Partner with academic institutions and research organizations to stay ahead of AI trends.
Product and Business Alignment
  • Collaborate with product and engineering teams to ensure AI solutions align with market needs and user expectations.
  • Provide feedback from the field to guide product improvements and innovations.
  • Identify and pursue new business opportunities related to AI technologies.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field (or equivalent experience).
  • Proven experience in AI, machine learning, or related technologies.
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