
Senior Technical Architect
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in Brazil.
• Create and execute scalable, secure, and high-performance Salesforce solutions.
• Establish technical architecture, integration patterns, data models, and development standards.
• Deliver technical leadership and architectural direction to Salesforce development teams.
• Perform architecture evaluations, code reviews, and technical design assessments.
• Ensure compliance with Salesforce best practices, security protocols, and platform governor limits.
• Design, configure, deploy, and enhance Salesforce Agentforce AI agents.
• Develop autonomous and assisted AI agent solutions for customer service, sales, and business operations.
• Configure topics, actions, instructions, and workflows for Agentforce.
• Integrate Agentforce with Salesforce Flow, Apex, APIs, and external enterprise systems.
• Execute agent grounding strategies utilizing Salesforce Data Cloud/Data 360, knowledge articles, and enterprise data sources.
• Create frameworks for agent testing, monitoring, security, and governance.
• Collaborate with prompt engineering, Salesforce Prompt Builder, and Einstein Trust Layer capabilities.
• Identify opportunities for enhancing business processes through AI-driven automation.
• Design integrations utilizing MuleSoft, middleware platforms, and event-driven architecture.
• Work across Sales Cloud, Service Cloud, and other pertinent Salesforce products.
• Establish CI/CD, DevOps, release management, and deployment best practices.
• Resolve complex technical and performance challenges.
• A minimum of 5 years of hands-on experience in Salesforce development, implementation, and architecture.
• At least 1 year of practical experience with Salesforce Agentforce implementation (mandatory).
• Demonstrated experience in architecting and deploying Agentforce-powered AI agents within real-world business settings.
• Strong expertise in Apex, Lightning Web Components (LWC), Salesforce Flow, SOQL, and Salesforce APIs.
• Experience with Salesforce Sales Cloud and Service Cloud.
• Comprehensive understanding of Salesforce security architecture, sharing models, and data governance.
• Proven experience in designing enterprise integrations and API-based architectures.
• Familiarity with Salesforce Data Cloud/Data 360, Prompt Builder, and Einstein Trust Layer.
• Experience in technical solution design, architecture documentation, and stakeholder communication.
• Ability to independently lead technical discussions and guide development teams.
• Preferred: Salesforce Certified Application Architect or System Architect.
• Preferred: Salesforce Certified Agentforce Specialist or equivalent current Agentforce certification.
• Preferred: Salesforce Certified Platform Developer I/II.
• Preferred: Experience with MuleSoft and enterprise integration frameworks.
• Preferred: Experience in implementing generative AI, LLM-based solutions, and retrieval-augmented generation (RAG).
• Preferred: Knowledge of multi-agent orchestration, AI governance, and responsible AI practices.
• Preferred: Experience working in Agile/Scrum delivery environments.
• Benefits and resources that support balance and wellbeing.
• AI agents designed to enhance employee impact.
• Reasonable accommodation support during the application and recruitment process.
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