Senior Technical Architect

Salesforce

. Design and implement scalable, secure, and high-performance Salesforce solutions .

Posted 11/11/2026full-timeRemote • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in designing and implementing scalable Salesforce solutions, with a strong focus on Agentforce AI agents and integration patterns. Proficient in Salesforce architecture, security standards, and best practices, while effectively leading development teams and technical discussions.

Highest-signal resume keywords

Salesforce Development ExperienceAgentforce Implementation ExperienceApex ProgrammingSalesforce FlowSalesforce Security Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ApexLightning Web Components (LWC)Salesforce FlowSOQLSalesforce APIsMuleSoftEnterprise IntegrationsAI Agent SolutionsTechnical Solution DesignData Governance

Soft Skills

Technical LeadershipStakeholder CommunicationIndependent Decision-Making

Tools & Technologies

Salesforce Data CloudPrompt BuilderEinstein Trust LayerAgentforceCI/CDDevOps

Certifications & Qualifications

Salesforce Certified Application ArchitectSalesforce Certified System ArchitectSalesforce Certified Agentforce SpecialistSalesforce Certified Platform Developer ISalesforce Certified Platform Developer II

Industry Keywords

Sales CloudService CloudAgileScrumAI Governance

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

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
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

Requirements

What you’ll need

Minimum 5 years of hands-on Salesforce development, implementation, and architecture experience
Minimum 1 year of hands-on Salesforce Agentforce implementation experience (mandatory)
Proven experience architecting and deploying Agentforce-powered AI agents in real-world business environments
Strong proficiency in Apex, Lightning Web Components (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
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 implementing generative AI, LLM-based solutions, and retrieval-augmented generation (RAG)
Preferred: Familiarity with multi-agent orchestration, AI governance, and responsible AI practices
Preferred: Experience working in Agile/Scrum delivery environments

Benefits

Comp & perks

Benefits and resources supporting balance and wellbeing
AI agents intended to accelerate employee impact
Reasonable accommodation support during application and recruiting