Salesforce Agentforce Developer / Lead
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Role details
Tech stack
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Job description
*Design and develop Salesforce Agentforce solutions to automate customer, service, and operational processes. *Build and configure AI agents, topics/subagents, actions, prompts, and workflows. *Collaborate with business stakeholders to identify and prioritize Agentforce use cases. *Integrate Agentforce with Salesforce Clouds, Data Cloud, and external enterprise systems. *Define AI guardrails, governance, and security controls. *Optimize agent performance, response accuracy, and business outcomes. *Mentor development teams on Agentforce architecture and best practices. *Support solution design, estimation, and client-facing technical discussions.
Requirements
*8+ years of Salesforce experience with Sales Cloud, Service Cloud, Experience Cloud, and Platform Development. *Hands-on experience with Salesforce Agentforce implementation and customization. *Strong understanding of AI Agents, Prompt Builder, Agent Builder, Einstein AI, and Generative AI capabilities within Salesforce. *Experience building Agentforce actions using: o Apex o Flows o REST/SOAP APIs o External Integrations
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Expertise in: o Apex o Lightning Web Components (LWC) o Aura o SOQL/SOSL o Salesforce Security Model
- Experience with Salesforce Data Cloud and AI-driven customer insights.
- Strong integration experience using MuleSoft, Platform Events, Middleware, and external AI/LLM platforms.
- Experience designing conversational workflows and AI-driven business processes.
- Knowledge of prompt engineering, AI governance, and trusted AI practices.
Preferred Skills *Salesforce AI Specialist Certification. *Salesforce Platform Developer I/II. *Data Cloud Certification. *Experience integrating OpenAI, Azure OpenAI, Anthropic Claude, or other enterprise LLMs. *Experience implementing AI solutions in Healthcare, Insurance, or Financial Services domains.
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