Sr AI Architect - Conversational AI
Tasks
- Build cloud based ML services
- Define AI ML architectural vision
- Design agentic AI orchestration
- Design model deployment and lifecycle management
- Design semantic retrieval
- Ensure responsible AI compliance
- Establish architectural guardrails
- Evaluate and implement LLM architectures
- Implement RAG systems
- Implement contextual compression
- Implement contextual grounding
- Implement inference optimization
- Implement tool usage and reasoning
- Lead cross-organizational technical initiatives
- Manage multi turn state
- Mentor engineers and provide technical leadership
- Own ML AI Ops roadmap
- Transition AI ML research to production systems
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic AI | Artificial Intelligence | Automated retraining | Cloud platform | Contextual compression | Embeddings | Google Cloud | Google Cloud Platform | Inference Optimization | LLM | LLM orchestration | LLM-Ops | ML Ops | Machine Learning | Microsoft Azure | Model Evaluation | Monitoring | Orchestration | RAG | Reasoning systems | Semantic Retrieval | Tool usage | Transformer Models | Vector Databases
Education
Roles
AI | AI Architect | Architect | Learning Architect | Machine Learning Architect
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