Salesforce AI Agent Architect（Multiple Levels）

Job title: Salesforce AI Agent Architect (Multiple Levels)

About the Role Salesforce is seeking a tech leader to drive business transformation around AI adoption, from current state analysis to deployment and sustained adoption of Agentforce and other Salesforce AI solutions. You will analyze and visualize customer operations, extend beyond pre-defined systemized areas to hand-crafted processes, and own end-to-end delivery including design, build, test, production deployment, and post-deployment internalization.

What You'll Do

• Lead end-to-end transformation starting from business analysis and modeling to production deployment and internalization, focusing on Agentforce and Salesforce AI solutions.
• Visualize current operations, including manual/tribal processes, categorize tasks into standardized (rule-based), inference-based (probabilistic), and human-led creative work, and identify where AI agents deliver value.
• Define use cases, determine split of processing between inference-based (LLM) and rule-based (Flow/Apex), and design a hybrid inference approach with Agent Script to control determinism where required.
• Design, develop, and test the agent architecture: agent and sub-agent configuration, topics, instructions, and actions (Flow, Apex, APIs); ensure safe production deployment via CI/CD and minimize mis-outputs.
• Support post-launch adoption, expansion of AI use cases, and customer/internal internalization capabilities to operate and enhance agents.
• Explore expansion beyond Agentforce to broader AI/data foundations, leveraging Data Cloud for real-time data integration and grounding, and Salesforce platform capabilities across Sales, Service, Marketing, and external integrations.

What We're Looking For

• Strong experience in business analysis and modeling of current operations, with ability to classify tasks into routine, inference-based, and creative categories and identify AI-enabled opportunities.
• Hands-on experience in designing and building AI agent-based solutions (Agentforce) including agent/sub-agent configurations, topics, instructions, and actions; experience with hybrid inference models (LLM + deterministic components).
• Familiarity with Data Cloud, data integration/grounding, and Salesforce platform components (Sales, Service, Marketing), plus ability to integrate external AI services and other systems.
• Ability to work across project phases: analysis, use-case scoping, design/development/testing, deployment, and ongoing adoption/internalization; comfort with CI/CD practices.
• Willingness to grow into broader AI/data platform domains beyond Agentforce as needed.