Principal Engineer, AI Architect
Posted Updated
Summary
Designs and builds scalable GenAI systems, RAG pipelines, and LLM inference platforms while setting engineering standards for responsible AI and secure model integration.
- Apply root cause analysis to resolve production issues
- Build RAG pipelines and agent orchestration architectures
- Build reusable GenAI components SDKs and frameworks
- Convert business requirements into technical designs
- Define engineering standards for responsible AI
- Define frontend architecture and AI UX patterns
- Design scalable secure cost efficient LLM inference platforms
- Ensure security privacy compliance governance for enterprise AI
- Establish prompt design and model integration best practices
- Implement model evaluation and observability
- Lead implementation of GenAI workflows with APIs and structured data
- Lead technical discovery and solutioning
- Own AI application architecture and technical vision
- Review designs and codebases and unblock teams
- Run proofs of concept to validate designs and technologies
- Write architecture and design documents