Why this role stands out
This hybrid role offers a fantastic opportunity to lead cutting-edge Salesforce Agentforce and AI development, leveraging your expertise in Apex, LWC, and Generative AI to drive impactful solutions. You'll thrive here if you're a seasoned Salesforce developer with a passion for AI innovation and enjoy collaborating to shape the future of customer engagement. Apply now to join a forward-thinking team and advance your career in a dynamic environment.
Quick overview
Job description
Job title: Salesforce Agentforce Developer / Lead
Location: Hartford, CT
Duration: Long term Contract
Salesforce Agentforce Developer / Lead
Required Skills
- 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:
- Apex
- Flows
- REST/SOAP APIs
- External Integrations
- Expertise in:
- Apex
- Lightning Web Components (LWC)
- Aura
- SOQL/SOSL
- 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.
Key Responsibilities
- 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.
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