AI/ML Architect (Generative AI)
Tasks
- Define evaluation quality gates and versioning
- Define model governance standards
- Design RAG system architecture
- Design human-in-the-loop workflows
- Guide engineers on architectural consistency
- Implement multi-agent orchestration
- Own reference architecture for agentic AI platform
- Plan build vs buy decisions
- Set security and audit logging standards
- Translate customer use cases into reference design
Perks/Benefits
Skills/Tech-stack
AWS Bedrock | Agent Orchestration | Agent/tool use | Amazon SageMaker | Azure AI | ChromaDB | Cloud Native | Cloud Native Architecture | GRPC | Generative AI | Gguf | Langchain | Language Models | Large Language Models | Llama.cpp | Llamaindex | Machine Learning | Microservices | Model Context Protocol | Multi-Agent | Multi-agent orchestration | OpenSearch | Pinecone | Qdrant | REST API | Retrieval-Augmented Generation | Tool use | VLLM | Vector Databases | Vertex AI | WebSocket
Education
N/A
Roles
AI | AI Architect | Architect | Learning Architect | Machine Learning Architect
Regions
Countries
States
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