Salesforce AI Developer
2 days ago
Key Responsibilities :
Agentforce (Salesforce AI) :
- Design, develop, and deploy AI Agents leveraging Salesforce Agentforce.
- Build and maintain intelligent conversational workflows using Prompt Engineering and Intent Recognition techniques.
- Integrate AI agents with CRM workflows, Apex classes, and external REST/SOAP APIs to automate processes and enhance customer experience.
- Implement and manage the Einstein Trust Layer to ensure robust data security, governance, and compliance.
- Monitor and analyze AI agent performance metrics; perform fine-tuning for accuracy and responsiveness.
- Manage and optimize Agent Actions, ensuring contextual, human-like interactions and seamless automation across systems.
Salesforce Data Cloud :
- Design and implement data models, harmonization, and identity resolution processes to unify multi-source customer data.
- Manage data ingestion from various systems both batch and streaming ensuring reliability and consistency.
- Build and manage segments, audiences, and activation rules to deliver personalized customer experiences.
- Enable real-time personalization and activation across Salesforce channels (Sales, Service, Marketing, and Experience Clouds).
- Ensure full compliance with data privacy, security, and regulatory frameworks such as GDPR and CCPA.
- Utilize SQL and Query Builder for advanced data transformation, validation, and analytics.
- Work with Data Streams, Data Lake Objects, Data Model Objects, and Search Index/Retrievers for optimized data access and retrieval.
Technical Skills Required :
- Strong understanding of Salesforce Platform Architecture (Apex, LWC, Flows).
- Expertise in Agentforce, Einstein AI, and Salesforce Data Cloud.
- Hands-on experience with REST/SOAP APIs, Integration Patterns, and OAuth Authentication.
- Familiarity with AI model training, prompt design, and LLM orchestration.
- Proficiency in SQL, SOQL, and Data Transformation Pipelines.
- Knowledge of CRM Analytics, Event Relays, and Customer Graphs will be a plus.
Soft Skills & Attributes :
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and collaboration abilities for cross-functional project delivery.
- Detail-oriented and capable of handling large-scale data-driven implementations.
- Passionate about leveraging AI and automation to enhance business value.
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