Note: The job is a remote job and is open to candidates in USA. Ledgent Technology is seeking an experienced independent Agentforce resource for a long-term, remote engagement. The role focuses on designing, developing, deploying, and tuning Agentforce solutions, including integrations, testing, and CI/CD.

Responsibilities

• Agentforce Builder: agent, topic, instruction, and action design
• Prompt Builder templates grounded in record data
• Einstein Trust Layer data masking and audit trail
• Data 360 (Data Cloud) search indexes and retrievers for RAG grounding
• Agentforce DX and Agent Script for source-driven agent development
• Apex invocable actions and Flows as agent actions
• Data model, SOQL, and the sharing / permission model that limits what an agent can access
• External systems as actions via Named Credentials and External Services
• Deployment to Messaging for In-App and Web or Experience Cloud
• Invoking MuleSoft-managed APIs as agent actions
• LWC for custom action inputs and response rendering
• Agent API for headless agent invocation
• Source control with Git (branching, merge / rebase, pull requests)
• Testing Center suites for topic and action selection, rerun after every change
• Salesforce CLI deployment of agents, prompts, and actions
• Azure DevOps pipelines and Artifacts for CI/CD
• Automated, multi environment deployment configuration
• Post-launch tuning from session traces and Agentforce analytics

Skills

• Agentforce Builder: agent, topic, instruction, and action design
• Prompt Builder templates grounded in record data
• Einstein Trust Layer data masking and audit trail
• Experience delivering Agentforce in Government Cloud Plus orgs
• Data 360 (Data Cloud) search indexes and retrievers for RAG grounding
• Agentforce DX and Agent Script for source-driven agent development
• Apex invocable actions and Flows as agent actions
• Data model, SOQL, and the sharing / permission model that limits what an agent can access
• External systems as actions via Named Credentials and External Services
• Deployment to Messaging for In-App and Web or Experience Cloud
• Invoking MuleSoft-managed APIs as agent actions
• LWC for custom action inputs and response rendering
• Agent API for headless agent invocation
• Source control with Git (branching, merge / rebase, pull requests)
• Testing Center suites for topic and action selection, rerun after every change
• Salesforce CLI deployment of agents, prompts, and actions
• Azure DevOps pipelines and Artifacts for CI/CD
• Automated, multi environment deployment configuration
• Post-launch tuning from session traces and Agentforce analytics
• Salesforce Certified Agentforce Specialist
• Salesforce Certified Platform Developer
• Salesforce Certified Platform Administrator
• Salesforce Certified Data Cloud Consultant
• Salesforce Certified Agentforce Service Consultant
• Salesforce Accredited Agentforce 360 for Public Sector Professional

Benefits

• Remote work (long-term engagement).

Company Overview