Platform Architecture System

Highly skilled Salesforce Agentforce Specialist to lead the design
implementation and governance of our autonomous AI this role you will transform
our customer service sales and operations by building intelligent agents that do not just chat
but actively execute tasks and workflows.
You will bridge the gap between business requirements and technical AI
orchestrationleveraging Data Cloud building precise prompts and designing multi-agent
environments while adhering to strict trust and security standards.

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

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