Solutions Architect

🕒 vor 6 Monaten

🗣️🇺🇸🇬🇧 Englisch erforderlich

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ListEngage

51 - 200 Mitarbeiter

Gegründet 2004

☁️ SaaS

🤖 Künstliche Intelligenz

Marketing • SaaS • Artificial Intelligence

ListEngage ist ein exklusiver Salesforce Marketing Cloud Full Stack Partner, der sich darauf konzentriert, digitale Transformation durch datengetriebene Personalisierung, KI-Integrationen und verbesserte Kundenerfahrungen voranzutreiben. Mit über 20 Jahren Erfahrung hilft ListEngage Unternehmen dabei, den Einsatz von Salesforce-Technologien in verschiedenen Clouds wie Marketing Cloud, Service Cloud und Data Cloud zu optimieren, um ehrgeizige Marketingziele und eine tiefere Kundenbindung zu erreichen.

Beschreibung

• Design, develop, test, and deploy autonomous AI agents using Salesforce Agentforce across Salesforce clouds • Build and configure custom Agent Actions (Flows, Apex, Prompt Templates, MuleSoft APIs) to extend agent capabilities • Design and implement agent topics, instructions, and guardrails to ensure accurate and safe agent responses • Create proof of concepts (POCs) to evaluate agent feasibility and demonstrate business value before full implementation • Develop custom Prompt Templates and engineer system prompts for optimal agent performance • Integrate agents with Data Cloud, external systems, and third-party LLMs using MuleSoft or APIs • Implement agent security, including Einstein Trust Layer configuration and data masking • Perform comprehensive testing including unit testing, simulation testing, and support user acceptance testing (UAT) • Monitor agent performance analytics and continuously optimize based on conversation metrics • Troubleshoot and resolve issues related to agent responses, actions, and integrations

🎯 Anforderungen

• 3+ years of development and configuration experience within Salesforce Platform • Hands-on experience building and deploying Agentforce agents in production environments • Expertise in Salesforce Flow (including autonomous mode flows) and Apex for custom agent actions • Experience with API development and integration, including designing and consuming RESTful APIs via MuleSoft or native Salesforce • Proficiency in prompt engineering and working with Large Language Models (GPT-4, Claude, etc.) • Experience with Data Cloud or similar customer data platforms • Knowledge of programming languages such as JavaScript, Python, and/or Apex • Understanding of AI/ML concepts, retrieval-augmented generation (RAG), and grounding techniques • Experience with agent testing methodologies and conversation design principles • Required Salesforce Certifications: Salesforce Administrator, AgentBlazer Champion, Platform Developer I • Preferred Certifications: AgentBlazer Legend, Salesforce Platform App Builder, Agentforce Specialist, Platform Developer II, Data Cloud Consultant, Integration Architect (for complex implementations)

🏖️ Vorteile

• Comprehensive benefits package, including health, dental, and vision insurance • Opportunities for professional development and career growth • A collaborative and inclusive work environment • 100% remote work arrangements (minimal travel may be required per client need)

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