Sr AI Solutions Engineer (Generative AI & Agentic AI)
Posted Updated 11
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Summary
Designs, builds, and maintains generative AI agents and RAG pipelines, integrates AI into enterprise systems like Salesforce and MuleSoft, and establishes evaluation frameworks for agent performance.
- Build RAG pipelines and retrieval workflows
- Build deploy monitor evaluate and retire agents
- Create reusable prompt templates
- Design and build AI agents
- Establish agent evaluation harnesses
- Implement MCP Server integrations
- Integrate AI into Java SDLC touchpoints
- Integrate AI into MuleSoft
- Integrate AI into Salesforce Health Cloud
- Maintain prompt and agent pattern libraries
- Monitor agent drift cost latency and accuracy
- Productionize enterprise AI workflows
- Remediate agent performance issues
- Review AI-generated code