Solutions Architect

🕒 il y a 6 mois

🍂 Massachusetts – Distant

🍂 Massachusetts – Remote

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

💻 Ingénieur Solutions

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ListEngage

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2004

☁️ SaaS

🤖 Intelligence artificielle

Marketing • SaaS • Artificial Intelligence

ListEngage est un partenaire exclusif Marketing Cloud Full Stack de Salesforce, spécialisé dans la transformation numérique grâce à la personnalisation basée sur les données, les intégrations IA et l'amélioration des expériences client. Avec plus de 20 ans d'expérience, ListEngage aide les entreprises à optimiser leur utilisation des technologies Salesforce à travers divers clouds, y compris Marketing Cloud, Service Cloud et Data Cloud, pour atteindre des objectifs marketing ambitieux et un engagement client plus profond.

Description

• 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

🎯 Exigences

• 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)

🏖️ Avantages

• 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)