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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.

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.