Salesforce Architect
Galent
We are seeking an experienced Salesforce Agentforce Technical Architect to lead the architecture design and implementation of AI-powered Salesforce solutions leveraging Agentforce, Data Cloud, Einstein AI, and Salesforce Platform capabilities. The ideal candidate will define scalable architecture, establish technical standards, and drive the successful delivery of enterprise-grade Agentforce implementations across multiple Salesforce clouds and integrated ecosystems.
Key Responsibilities Lead end-to-end architecture and solution design for Salesforce Agentforce implementations. Define Agentforce architecture including agents, topics, actions, prompts, instructions, guardrails, and AI governance frameworks. Design scalable and secure solutions across Sales Cloud, Service Cloud, Experience Cloud, Data Cloud, and Agentforce. Architect integrations between Salesforce, external applications, AI services, APIs, and enterprise systems. Establish best practices for prompt engineering, agent orchestration, grounding, observability, and AI response validation. Provide technical leadership to developers, technical leads, and project teams throughout the delivery lifecycle. Conduct architecture reviews, code reviews, and technical design assessments. Ensure adherence to Salesforce security, data privacy, compliance, scalability, and performance standards. Collaborate with business stakeholders, product owners, and enterprise architects to align technical solutions with business objectives. Support presales activities, solution estimates, technical proposals, and architectural roadmaps. Required Skills Strong knowledge of Apex, Lightning Web Components (LWC), Flows, SOQL, and Salesforce Platform architecture. Experience designing solutions using Sales Cloud, Service Cloud, Experience Cloud, and Data Cloud. Deep understanding of Agentforce agents, grounding, prompt templates, actions, AI governance, and security controls. Strong integration architecture experience using REST, SOAP, Platform Events, MuleSoft, and middleware platforms. Experience with large-scale enterprise Salesforce implementations and digital transformation programs. Knowledge of DevOps processes and tools including Git, Copado, Gearset, and Azure DevOps. Preferred Skills Experience with Retrieval Augmented Generation (RAG), AI orchestration, and conversational AI architectures. Exposure to enterprise data architecture, Data Cloud, and customer data platforms. Understanding of responsible AI, compliance, security, and governance frameworks. Experience with multi-cloud Salesforce environments and complex integration landscapes. Qualifications 10+ years of Salesforce experience with at least 3 years in Architect or Lead Architect roles. Salesforce Certified Technical Architect (Preferred). Salesforce Platform Developer II. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. #J-18808-LjbffrVacancy posted 3 days ago
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