Senior Technical Architect

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Job Category
Customer Success
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
We are seeking an experienced Senior Salesforce Technical Architect with a strong background in Salesforce platform architecture, Agentforce, AI-powered solutions, and enterprise integrations.
The ideal candidate must have at least 5 years of hands-on Salesforce experience and a minimum of 1 year of practical experience implementing Salesforce Agentforce solutions.
The candidate will be responsible for designing scalable Salesforce architectures, building intelligent AI agents, integrating enterprise applications, and providing technical leadership throughout the implementation lifecycle.
Key Responsibilities
Salesforce Architecture & Technical Leadership
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.
Agentforce & AI Implementation
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.
Salesforce Development & Integration
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.
Required Qualifications
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.
Preferred Qualifications
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.
Key Skills
Salesforce: Apex, LWC, Flow, SOQL, Sales Cloud, Service Cloud, Security Architecture
Agentforce & AI: Agentforce, Agent Actions, Prompt Builder, Einstein Trust Layer, AI Agent Design, Agent Testing, LLMs, RAG
Integration: REST APIs, SOAP APIs, MuleSoft, Platform Events, External Services
Architecture: Enterprise Architecture, Solution Design, Integration Patterns, Data Modeling, CI/CD, DevOps
Mandatory Requirements
Minimum 5 years of Salesforce experience.
Minimum 1 year of hands-on Agentforce implementation experience.
Proven Salesforce technical architecture and solution design expertise.
Strong hands-on experience with Apex, LWC, Flow, and integrations.
Ability to architect and deliver production-ready AI agent solutions.
Strong technical leadership and stakeholder management skills.
Ideal Candidate
A hands-on Salesforce Technical Architect who combines strong Salesforce platform expertise with real-world Agentforce implementation experience and can independently design, develop, integrate, and scale enterprise-grade AI-powered solutions.

Skills
REST API, CI/CD, Data Modeling, LLM, Generative AI, Agile, Scrum, Salesforce, CRM, Customer Success