Salesforce Principle Engineer 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., Mule Soft)

* 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.

Salary Range- $110,000-$130,000 a year

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