Overview
Senior Salesforce Technical Architect to design scalable Salesforce architectures, build AI agents with Agentforce, integrate enterprise applications, and provide technical leadership through the implementation lifecycle.
What you'll do
- Design and implement scalable, secure, and high-performance Salesforce solutions.
- Define technical architecture, integration patterns, data models, and development standards.
- Provide technical leadership and architecture guidance to Salesforce development teams.
- Conduct architecture reviews, code reviews, and technical design assessments.
- Ensure adherence to Salesforce best practices, security standards, and platform governor limits.
- Design, configure, deploy, and optimize Salesforce Agentforce AI agents.
- Build autonomous and assisted AI agent solutions for customer service, sales, and business operations.
- Configure Agentforce topics, actions, instructions, and agent workflows.
- Integrate Agentforce with Salesforce Flow, Apex, APIs, and external enterprise systems.
- Implement agent grounding strategies using Salesforce Data Cloud/Data 360, knowledge articles, and enterprise data sources.
- Develop agent testing, monitoring, security, and governance frameworks.
- Work with prompt engineering, Salesforce Prompt Builder, and Einstein Trust Layer capabilities.
- Identify opportunities to improve business processes through AI-driven automation.
- Provide technical expertise in Apex, Lightning Web Components (LWC), SOQL, Salesforce Flow, and REST/SOAP APIs.
- Design integrations using MuleSoft, middleware platforms, and event-driven architecture.
- Work across Sales Cloud, Service Cloud, and other relevant Salesforce products.
- Establish CI/CD, DevOps, release management, and deployment best practices.
- Troubleshoot complex technical and performance issues.
What you'll need
- 5+ years of hands-on Salesforce development, implementation, and architecture experience.
- Minimum 1 year of hands-on Salesforce Agentforce experience (mandatory).
- Proven experience architecting and deploying Agentforce-powered AI agents in real-world business environments.
- Strong proficiency in Apex, LWC, Salesforce Flow, SOQL, and Salesforce APIs.
- Experience with Salesforce Sales Cloud and Service Cloud.
- Strong understanding of Salesforce security architecture, sharing models, and data governance.
- Experience designing enterprise integrations and API-based architectures.
- Working knowledge of 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.
Nice to have
- Salesforce Certified Application Architect or System Architect.
- Salesforce Certified Agentforce Specialist or equivalent current Agentforce certification.
- Salesforce Certified Platform Developer I/II.
- Experience with MuleSoft and enterprise integration frameworks.
- Experience implementing generative AI, LLM-based solutions, and retrieval-augmented generation (RAG).
- Familiarity with multi-agent orchestration, AI governance, and responsible AI practices.
- Experience working in Agile/Scrum delivery environments.
Details
- Location: Brazil, remote.
Read the full description and apply on the company’s own careers page.