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salesforce rag generative ai agentforce unstructured dmos📋 Description
- Lead end-to-end technical design across Data 360 and Agentforce data flows.
- Architect scalable data models, identity resolution, and activation.
- Define integration patterns with MuleSoft and enterprise data warehouses.
- Architect RAG and Generative AI solutions using DMOs, Retrievers, and indexes.
- Collaborate with customers, PMs, solution architects, and developers.
- Oversee all stages from design through testing and deployment.
🎯 Requirements
- 6+ years of experience in application, data, or software development and architecture.
- 3+ years hands-on Salesforce Platform in a development or architecture role.
- Bachelor's or Master’s in Computer Science, Data Engineering, or related field.
- Hands-on experience architecting Salesforce Data 360 (Data Cloud) and identity resolution.
- Proficiency in SQL and Apex; working knowledge of Python/JavaScript/Java.
- Experience with data integration patterns across MuleSoft and data warehouses.
🎁 Benefits
- Remote and in-person options; HQ in MA, regional hubs, or remote.
- Travel up to 25% for certain roles.
- Flexible schedule to balance personal commitments.
- Collaborative culture with town halls and feedback.
- Team celebrations and events.
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