JD: Own end-to-end Agentforce architecture, including conversation design (dialog trees, fallback strategies), system integrations via MuleSoft or middleware, and data modeling for AI agents (contextual memory, user pro. Define coding standards, scalability guidelines, and security protocols (e.g., field-level encryption, permission sets). Align architecture with Salesforce release cycles and Agentforce roadmap updates. Lead technical discovery sessions with stakeholders to translate business needs into technical epics. Conduct code reviews, performance tuning, and disaster recovery planning. Mentor both developers and admins on Agentforce best practices.
Requires 8+ years of Salesforce experience , with 2+ years in a lead role specifically for Agentforce or Einstein implementations. Salesforce Application or System Architect certification required.
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