Principal Engineer, AI Architect
Tasks
- 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
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent Orchestration | Azure | Backend architecture | Claude Code | Cloud infrastructure | Conversational Interfaces | Copilot | Distributed Systems | Enterprise Architecture | Frontend architecture | GCP | Generative AI | Governance | LLM | LLM Inference | LLM integration | Model Evaluation | Observability | Privacy | Prompt engineering | Python | RAG | React | SDK development | Secure Architecture | Security | System design
Education
Roles
AI | AI Architect | Architect | Engineer | Principal | Principal Engineer
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