ESaaS - SFDC - Agentforce Dev

Highly skilled Salesforce Agentforce Specialist to lead the design,
implementation, and governance of our autonomous AI agents. In 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
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