Salesforce Principle Engineer with AI Experience

Job DescriptionSalesforce Principle Engineer with AI ExperienceMust Have Technical/Functional Skills Proven experience as a Principal Engineer / Architect level role. Expertise in:Apex, LWC, SOQL, Salesforce security modelIntegration frameworks and middleware (e.g., MuleSoft) Hands-on experience with:Salesforce Einstein / AI CloudAI/ML frameworks or API integrations Strong understanding of cloud architecture and microservices.Roles & Responsibilities Define and own the Salesforce enterprise architecture strategy across Sales Cloud, Service Cloud,Experience Cloud, and Marketing Cloud. Lead end-to-end solution design, ensuring scalability, security, and performance. Act as a technical advisor to stakeholders, architects, and engineering teams. Establish best practices, coding standards, and governance frameworks. Design and implement solutions using:Apex, Lightning Web Components (LWC), AuraSalesforce APIs (REST/SOAP)Platform Events, Flows, and Integration patterns Lead complex system integrations with external platforms (ERP, data lakes, AI services). Optimize Salesforce performance and data models. Integrate AI capabilities into Salesforce using:Salesforce Einstein (Prediction Builder, GPT, Copilot, AI Cloud)External AI tools (Azure OpenAI, AWS AI, Google AI, etc.) Design use cases such as:Predictive lead scoring and opportunity insightsIntelligent customer service automationChatbots and conversational AIRecommendation engines Work with data teams to enable ML pipelines and data enrichment.Salary Range- $110,000-$130,000 a year