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Mid-level metro Salesforce lead roles attract moderate competition due to skills specificity and market demand.
Strong Salesforce and Agentforce platform focus limits cross-industry transferability without platform experience.
Role requires many mandatory Salesforce technologies and platform certifications, indicating strict technical filters.
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Design, build, and deploy custom Agentforce AI agents and extend their capabilities using Apex, Flow, and Prompt Templates.
Develop and configure Sales Cloud and Service Cloud solutions including case management, Omni-Channel, Knowledge, CPQ, and customer engagement tools.
Implement AI governance features such as data masking, toxicity detection, audit logging, and integrate agents with Data Cloud and Atlas Reasoning Engine for improved performance and escalation handling.
Experience with Salesforce development tools including Apex, Flow, and configuration of Sales Cloud and Service Cloud.
Proficiency in building and tuning AI-powered agents with Prompt Builder and integration with Data Cloud.
Work Experience Required: Not explicitly mentioned in the JD.
Location: Hyderabad, India office onsite.
Experienced in enterprise-scale Salesforce AI agent development with a focus on AI integrations and trust layer controls.
Skilled in both technical customization and system configuration for Sales and Service Cloud in complex environments.
A technical lead comfortable owning end-to-end AI agent lifecycle including design, deployment, tuning, and operational analytics.