AI/LLM Application Architect
CNY 360K-600K (estimate) Senior-level Full Time
Tasks
- Define deployment strategy for cloud and private inference
- Define system boundaries approved data classes and model whitelisting
- Design AI agent workflows for requirements traceability and validation
- Drive controlled change management for AI workflows
- Establish RBAC and version control for AI outputs
- Evaluate model providers orchestration frameworks and RAG patterns
- Govern prompt and model usage with human in the loop controls
- Implement technical controls for source citation no source labeling and audit logging
- Integrate enterprise systems and translate business and QMS requirements
- Lead end to end AI R and D QMS harness architecture
- Partner with QA RA risk systems engineering validation and IT teams
- Perform AI use case qualification with URS OQ PQ and prompt validation
Perks/Benefits
- N/A
Skills/Tech-stack
AI architecture | API Integration | AWS Bedrock | Application development | Audit Logging | Azure OpenAI | Cloud deployment | Enterprise Integration | Evidence Archiving | Human-in-the-loop | LLM Application Development | LLM application | Model Governance | OQ PQ | OQ PQ URS | Private Inference | Prompt engineering | Prompt validation | Python | RAG | RBAC | Regression testing | Reproducibility | Secure System Design | Secure system | System design | The Loop | Version control
Education
Roles
AI | AI Architect | Architect | LLM Architect | Software Architect
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