Responsibilities include but are not limited to:
- Develop enterprise-grade solutions on the Salesforce platform.
- Build advanced solutions using:
- Apex (Batch, Queueable, Future, Schedulable)
- Lightning Web Components (LWC)
- Visualforce (where applicable)
- Design complex data models, role hierarchies, sharing rules, and security architecture.
- Develop agile UI solutions using LWC with advanced JavaScript (ES6+).
- Design and implement AI-driven solutions using:
- Salesforce Einstein (Prediction Builder, Discovery, Next Best Action)
- Einstein GPT
- Salesforce Data Cloud
- Integrate external AI/ML services (OpenAI, AWS SageMaker, Azure ML) via REST APIs.
- Build prompt-driven workflows using generative AI within Salesforce Flows.
- Develop AI-powered automation for lead scoring, case classification, forecasting, and recommendations.
- Implement real-time AI inference via Platform Events and asynchronous processing.
- Work with structured and unstructured datasets for AI model training and insights.
- Apply Responsible AI principles, data governance, and compliance standards.
- Design Sales/Service Cloud solutions by working closely with application owners, business analysts, solution architects and product owners to build technology solutions to meet business needs.
- Build custom solutions connecting Salesforce (Sales/Service Cloud) with Dispatch's field service platform or salesforce field service platform using Dispatch.me.
- Support, maintain and improve the working of existing Sales/Service cloud applications for optimal functionality.
- Build prompt-driven workflows using generative AI within Salesforce Flows.
- Develop AI-powered automation for lead scoring, case classification, forecasting, and recommendations.
- Implement real-time AI inference via Platform Events and as
📌 Salesforce Data Cloud and Agentforce Developer (Chennai)
🏢 dotSolved System
📍 Chennai
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