Salesforce Principle Engineer with AI Experience
Must Have Technical/Functional Skills
Proven experience as a Principal Engineer / Architect level role.
Expertise in:
Apex, LWC, SOQL, Salesforce security model
Integration frameworks and middleware (e.g., MuleSoft)
Hands-on experience with:
Salesforce Einstein / AI Cloud
AI/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), Aura
Salesforce 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 insights
Intelligent customer service automation
Chatbots and conversational AI
Recommendation engines
Work with data teams to enable ML pipelines and data enrichment.
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