Salesforce Principle Engineer AI

Job Description
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.