Salesforce Architect
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Role details
Tech stack
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Job description
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.
Requirements
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Salesforce Apex \n
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Salesforce Integration (REST, SOAP, Streaming APIs, Events) \n
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Salesforce Visualforce \n
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Hands-on expertise in Salesforce Agentforce, Einstein AI, Prompt Builder, and AI-driven solutions. \n
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Strong knowledge of Apex, Lightning Web Components (LWC), Flows, SOQL, and Salesforce Platform architecture. \n
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Experience designing solutions using Sales Cloud, Service Cloud, Experience Cloud, and Data Cloud. \n
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Deep understanding of Agentforce agents, grounding, prompt templates, actions, AI governance, and security controls. \n
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Strong integration architecture experience using REST, SOAP, Platform Events, MuleSoft, and middleware platforms. \n
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Experience with large-scale enterprise Salesforce implementations and digital transformation programs. \n
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Knowledge of DevOps processes and tools including Git, Copado, Gearset, and Azure DevOps. \n, * 10+ years of Salesforce experience with at least 3 years in Architect or Lead Architect roles. \n
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Salesforce Certified Technical Architect (Preferred).
Benefits & conditions
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Lead end-to-end architecture and solution design for Salesforce Agentforce implementations. \n
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Define Agentforce architecture including agents, topics, actions, prompts, instructions, guardrails, and AI governance frameworks. \n
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Design scalable and secure solutions across Sales Cloud, Service Cloud, Experience Cloud, Data Cloud, and Agentforce. \n
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Architect integrations between Salesforce, external applications, AI services, APIs, and enterprise systems. \n
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Establish best practices for prompt engineering, agent orchestration, grounding, observability, and AI response validation. \n
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Provide technical leadership to developers, technical leads, and project teams throughout the delivery lifecycle. \n
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Conduct architecture reviews, code reviews, and technical design assessments. \n
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Ensure adherence to Salesforce security, data privacy, compliance, scalability, and performance standards. \n
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Collaborate with business stakeholders, product owners, and enterprise architects to align technical solutions with business objectives. \n
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Support presales activities, solution estimates, technical proposals, and architectural roadmaps. \n
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\n, * Experience with Retrieval Augmented Generation (RAG), AI orchestration, and conversational AI architectures. \n
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Exposure to enterprise data architecture, Data Cloud, and customer data platforms. \n
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Understanding of responsible AI, compliance, security, and governance frameworks. \n
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Experience with multi-cloud Salesforce environments and complex integration landscapes. \n
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