AI Architect
Tasks
- Architect end-to-end AI solutions
- Architect real time and batch inference
- Conduct proof-of-concept activities
- Define data ingestion chunking embedding and retrieval
- Design AI platform infrastructure and governance
- Design Agentic AI systems
- Enable drift detection and retraining
- Establish observability and telemetry
- Implement model versioning and monitoring
- Implement rag pipelines
- Integrate AI into enterprise applications
- Orchestrate multi-agent workflows
- Set up CI CD for AI models
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | AWS | Agentic AI | Amazon OpenSearch | Azure | Azure AI | Azure AI Search | CI/CD | Data Pipelines | Docker | Drift Detection | Faiss | Feature Store | Human-in-the-loop | Kubernetes | LLMOps | Language Models | Large Language Models | MLOps | Microsoft Copilot | Milvus | Model Monitoring | Model versioning | Observability | Pinecone | PyTorch | RAG | Retrieval and Embedding | Telemetry | TensorFlow | The Loop | Vector Databases
Education
N/A
Roles
AI | AI Architect | Architect | Engineer | Learning Engineer | Machine Learning Engineer
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