Salesforce Principle Engineer with AI

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.