Strategic AI Transformation Leader

Há 7 horas

São Paulo, São Paulo, Brasil beBeeEnterprise Tempo inteiro R$1.200.000 - R$1.800.000
Lead Enterprise AI Architect

Salesforce is looking for a visionary architect to lead our most strategic architecture engagements with marquee customers at the intersection of AI, enterprise platforms, and digital transformation. In this role, you will partner directly with CIOs, CTOs, and Chief Architects at global organizations to help them reimagine their businesses through AI-powered innovation on the Salesforce Platform.

You will drive the architectural vision for how the Salesforce suite is implemented at the most demanding enterprise scale. This is a high-trust, high-impact role shaping the future of how AI transforms customer experience, productivity, and decision-making.

Key Responsibilities:

  • Partner with CIOs, CTOs, and Chief Architects to shape enterprise transformation through AI and the Salesforce platform.
  • Define scalable architectural patterns for end-to-end implementation of the Salesforce suite, including AI, Data Cloud, Industry Clouds, and integration technologies.
  • Lead architectural modernization efforts, bridging legacy enterprise systems with modern cloud-native infrastructure and AI services.
  • Champion the use of trusted AI to transform workflows, automate decision-making, and personalize enterprise experiences at scale.
  • Establish and grow a community of architects across customers, system integrators (SIs), and ISVs to share best practices, patterns, and platform innovation.
Requirements
  • 8+ years of experience in enterprise architecture, platform strategy, or technical advisory roles, with significant focus on cloud transformation and AI integration.
  • Deep expertise in Salesforce architecture, including Data Cloud, Einstein AI, and Industry Cloud implementations at global scale.
  • Track record of executive engagement and influence with C-level leadership at global organizations.
  • Hands-on knowledge of AI/ML technologies, including predictive modeling, LLMs, automation, and ethical AI practices in enterprise settings.

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