Principal Engineer, AI Architect
Posted Updated
Summary
Principal Engineer designs and leads AI architecture, building RAG pipelines, LLM inference platforms, and GenAI workflows while ensuring security and scalability for enterprise applications.
- Build RAG pipelines
- Convert business use cases into technical design
- Define frontend architecture and UX patterns
- Design scalable secure cost efficient backend platforms for LLM inference
- Ensure enterprise readiness for security privacy compliance governance
- Establish prompt design and evaluation best practices
- Implement agent based orchestration
- Improve model integration and observability
- Lead implementation of GenAI workflows
- Lead technical discovery and solutioning for initiatives
- Own AI powered user facing application architecture
- Platformize GenAI reusable components SDKs frameworks
- Review designs and codebases to unblock teams
- Run POCs to validate design and technologies
- Write and review architecture and design documents