Salesforce Principle Engineer AI

Salesforce Principle Engineer with AI Experience

Proven experience as a Principal Engineer / Architect level role.

Expertise in:
Apex, LWC, SOQL, Salesforce security model Integration frameworks and middleware (e.g., Mule Soft)

Hands-on experience with:
Salesforce Einstein / AI Cloud AI/ML frameworks or API integrations

Strong understanding of cloud architecture and microservices.

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.