Salesforce Jobs 2026 (Now Hiring) – Smart Auto Apply
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Salesforce Principle Engineer With AI Experience
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Overview
Job Description
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., 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.
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