Principal Engineer, AI Architect
Tasks
- 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
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent Orchestration | Azure | Backend architecture | Cloud Computing | Cloud platform | Compliance | Cost Optimization | Distributed Systems | Frontend architecture | Generative AI | Google Cloud | Google Cloud Platform | Governance | LLM | LLM Inference | Model Evaluation | Observability | Privacy | Prompt engineering | Python | RAG | REST APIs | React | Responsible AI | Security | System design
Education
Roles
AI | AI Architect | Architect | Engineer | Principal | Principal Engineer
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