Associate Principal Engineer, AI Architect
Posted Updated
Summary
Designs and implements enterprise-grade AI systems, including LLM inference platforms, RAG pipelines, and agent orchestration, while ensuring security, compliance, and observability.
- Architect LLM inference platforms
- Conduct proof of concepts
- Create architecture design documents
- Define frontend architecture and UX patterns
- Define model integration and evaluation
- Design RAG pipelines
- Design agent orchestration
- Ensure security privacy compliance governance for enterprise AI
- Establish prompt design standards
- Implement observability for AI systems
- Lead GenAI workflow implementation
- Lead technical discovery and solutioning
- Own AI application architecture
- Perform root cause analysis
- Platformize GenAI components SDKs and frameworks
- Review critical designs and codebases
- Translate business requirements into technical design