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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Salesforce Technical Architect with Agentforce - **Company:** LTM Inc - **Location:** Newark, CA, United States - **Experience:** Experienced - **Salary:** $127,000.0 - $174,000.0 - **Contract:** Internship / Graduate position - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Integration Architecture, Microsoft Azure, Cloud Computing, Cloud Database, Code Review, Customer Data Management, Data Architecture, DevOps, Middleware, Cloud Services, Copado, Salesforce.Com, Systems Integration, Web Services, Apex Code, Multi-Agent Systems, Prompt Engineering, IT Architecture, Multi-Cloud, Git, AI Platforms, Salesforce Object Query Language (SOQL), Mulesoft - **Published:** July 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b0bedaa812879630 ## About the Role 10 years of Salesforce experience with 3 years in Architect or Lead Architect roles Hands-on expertise in Salesforce Agentforce Einstein AI Prompt Builder and AI driven solutions 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 largescale 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 ## Description We are seeking an experienced Salesforce Agentforce Technical Architect to lead the architecture design and implementation of AIpowered 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 enterprisegrade Agentforce implementations across multiple Salesforce clouds and integrated ecosystems, 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 tech 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, Salesforce Agentforce Specialist Salesforce Platform Developer II Data Cloud Consultant Preferred Key Competencies Enterprise Solution Architecture Agentforce AI Architecture Salesforce Platform Expertise Integration Architecture Data Architecture Governance Technical Leadership Stakeholder Management PreSales Solutioning Mentoring Team Enablement ## Related Videos - [Headless by Design: Building Enterprise Systems That Agents Can Actually Use](https://www.wearedevelopers.com/videos/100092-headless-by-design-building-enterprise-systems-that-agents-can-actually-use) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [When Should You Use an Agent? Architectural Trade-offs in Agentic Systems](https://www.wearedevelopers.com/videos/100109-when-should-you-use-an-agent-architectural-trade-offs-in-agentic-systems) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Never delegate the understanding](https://www.wearedevelopers.com/magazine/749-never-delegate-the-understanding)