About the Role:Responsibilities Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce cloudsBuild and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilitiesDesign and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responsesCreate proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementationDevelop custom Prompt Templates and engineer system prompts for optimal agent performanceIntegrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIsPerform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT)Monitor agent performance analytics and continuously optimize based on conversation metricsTroubleshoot and resolve issues related to agent responses, actions, and integrationsEducation & Experience Requirements 3+ years of development and configuration experience within Salesforce PlatformHands-on experience building and deploying Agentforce agents in production environmentsExpertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actionsExperience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native SalesforceProficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.)Experience with Data Cloud or similar customer data platformsUnderstanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniquesExperience with agent testing methodologies and conversation design principlesCertifications Required Salesforce Certifications:Preferred Certifications:Salesforce Platform App BuilderAgentforce SpecialistIntegration Architect (for complex implementations)Knowledge, Skills and Abilities Deep understanding of Agentforce architecture, Agent Builder, and the Atlas Reasoning EngineAbility to design conversational AI experiences with appropriate agent tone, personality, and guardrailsStrong prompt engineering skills with ability to iterate and optimize agent instructionsKnowledge of Einstein Trust Layer, data security, and compliance requirements for AI agentsExperience with agent performance monitoring, A/B testing, and continuous improvementAbility to translate business requirements into agent capabilities and action plansStrong understanding of when to use agents vs. We are a cross-cloud shop with an emphasis on Agentforce, Data Cloud, Loyalty Cloud, Personalization, Intelligence, Marketing Cloud Engagement, Service Cloud, and Sales Cloud.