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.