Associate Principal Engineer, AI Architect
Posted Updated
Summary
Designs and implements scalable AI architectures, including LLM backends and RAG pipelines, while setting standards for prompt engineering, observability, and responsible AI practices.
- Conduct proof of concepts to validate designs and technologies
- Convert business use cases into technical designs
- Define frontend architecture and UX patterns for AI applications
- Design scalable secure cost efficient LLM inference backends
- Ensure enterprise readiness security privacy compliance governance responsible AI
- Establish prompt design model integration evaluation and observability standards
- Identify root cause and resolve critical issues
- Implement rag pipelines
- Lead technical discovery and solutioning
- Orchestrate agent workflows
- Own AI application architecture and technical vision
- Platformize GenAI building reusable components SDKs frameworks
- Review designs and codebases to unblock teams
- Translate strategic objectives into technical solutions
- Use AI-assisted development tools to accelerate delivery
- Write and review architecture design documents