Salesforce Agentforce Specialist

You will bridge the gap between business requirements and technical AI orchestration—leveraging Data Cloud, building precise prompts, and designing multi-agent environments while adhering to strict trust and security standards. Key Responsibilities 1. Agent Design & Orchestration ● Configure AI Agents: Design and deploy autonomous agents using Agent Studio utilizing Topics, Instructions, and Actions (TIA) to handle complex business scenarios. ● Action & Workflow Integration: Build and connect standard and custom agent actions by integrating Salesforce Flows, Apex actions, and external APIs. ● Multi-Agent Interoperability: Architect agent-to-agent communication protocols and utilize the Model Context Protocol (MCP) and Agent APIs for cross-platform workflows. 2. Prompt Engineering & Grounding ● Prompt Architecture: Author, manage, and optimize scalable prompt templates in Prompt Builder using field generation and flex types. ● Data Grounding: Implement robust grounding techniques using structured and unstructured business data to prevent AI hallucinations and ensure highly relevant agent responses. 3. Data Strategy & Data Cloud ● Data Library Management: Leverage the Agentforce Data Library to feed real-time context to the reasoning engine. ● Retrieval Optimization: Configure Data Cloud retrievers, data chunking, and indexing strategy across keyword, vector, and hybrid search methods. 4. Testing, Lifecycle & Security ● Validation: Use the Agentforce Testing Center and reasoning traces to evaluate, debug, and optimize agent decision intelligence and accuracy before live deployment. ● ALM & Deployment: Manage the application lifecycle of AI models, deploying configurations seamlessly from Sandboxes to Production environments. ● AI Governance: Enforce the Einstein Trust Layer, configure Agent Users secure access permissions, and ensure strict compliance with corporate data security and ethical AI practices. Technical Requirements ● Experience: 4+ years of hands-on Salesforce ecosystem experience (Admin/Developer/Consultant), with at least 1 year of dedicated experience building AI-driven CRM architectures (Agentforce or Einstein Copilot). ● Salesforce Core: Strong understanding of standard automation tools (Flows, Apex, Lightning Web Components) to support custom Agent actions. ● Data Literacy: Solid grasp of Salesforce Data Cloud, data modeling, ingestion, and vector search strategies. ● AI Core Concepts: Deep familiarity with prompt engineering guardrails, LLM reasoning logic, and token optimization. Preferred Certifications ● Salesforce Certified Agentforce Specialist (AI-201) (Highly Preferred/Mandatory) ● Salesforce Certified AI Associate ● Salesforce Certified Platform App Builder or Platform Developer I (PD1) ● Salesforce Certified Data Cloud Consultant Soft Skills ● Excellent communication skills with the ability to translate complex AI behavior into clear business logic for stakeholders. ● A strong analytical mindset to look through reasoning traces and continually tune AI responses.