Role : Salesforce AI Builder
Location: Candidates should be based in the Dallas, Minneapolis–Saint Paul, or New York/New Jersey area
Experience : 12+
Looking for a hands-on Salesforce AI Builder / Salesforce Developer to design, develop, and productionize enterprise-grade AI, automation, and agentic solutions on the Salesforce platform. The ideal candidate will leverage Salesforce Data Cloud, Agentforce, Einstein AI, Apex, Lightning Web Components (LWC), and integration capabilities to deliver scalable business solutions within the client AI Transformation Program.
Key Responsibilities
Build end-to-end AI-powered business applications using Salesforce Agentforce, Einstein AI, Data Cloud, and the Salesforce Platform.
Design and develop intelligent agents, copilots, case-assistance solutions, knowledge assistants, and workflow automation capabilities.
Develop data ingestion, transformation, orchestration, prompt engineering, retrieval, and AI evaluation pipelines within Salesforce ecosystems.
Build custom applications using Apex, Lightning Web Components (LWC), Flows, Platform Events, and Salesforce APIs.
Integrate Salesforce solutions with enterprise systems, APIs, Azure services, Databricks, healthcare platforms, and external AI services.
Implement secure, scalable, and compliant solutions following healthcare and regulatory requirements.
Develop CI/CD pipelines, automated testing, deployment automation, monitoring, and production support processes.
Leverage Salesforce Data Cloud to unify customer, provider, claims, and operational data for AI-driven insights and decision-making.
Collaborate directly with business stakeholders, architects, value engineers, and AI builders to translate business challenges into scalable Salesforce AI solutions.
Required Skills
Salesforce Platform
Strong hands-on experience with Salesforce Service Cloud, Sales Cloud, Experience Cloud, and Platform Development.
Expertise in Apex, Lightning Web Components (LWC), SOQL, SOSL, Visualforce, and Salesforce APIs.
Experience developing custom Salesforce applications and enterprise integrations.
Salesforce AI & Agentic Capabilities
Salesforce Agentforce
Einstein AI
Einstein Copilot
Prompt Builder
Model Builder
AI Studio
Data Cloud
Generative AI and Agentic AI implementations
Integration & Data
REST/SOAP APIs
MuleSoft or enterprise integration platforms
Azure Integration Services
Event-driven architecture
Data governance and metadata management
AI & Modern Engineering
Retrieval-Augmented Generation (RAG)
Large Language Models (LLMs)
Vector Search concepts
Prompt Engineering
AI Evaluation Frameworks
Agent Orchestration
Conversational AI
DevOps & Security
GitHub
Azure DevOps
Salesforce DevOps Center
CI/CD implementation
Test Automation
OWASP and Salesforce Security Best Practices
HIPAA and Healthcare Compliance awareness
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