Gen AI Architect
Tasks
- Build RAG systems
- Deploy containerized services
- Design AI data architecture
- Design cloud data lakes and warehouses
- Develop agentic AI workflows
- Develop microservices and APIs
- Ensure model safety and oversight
- Implement GenAI and LLM solutions
- Implement MLOps and evaluation pipelines
- Implement vector databases integration
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AI Search | Access Management | Agentic AI | Amazon Web Services | Application Programming | Application Programming Interfaces | Azure | Azure AI | Azure AI Search | B testing | Cloud platform | CosmosDB | Cost Optimization | Data Lakes | Data Warehouses | Docker | Embeddings | Evaluation Pipelines | Google Cloud | Google Cloud Platform | Identity and Access Management | Identity and access | Kubernetes | LLOps | Language Models | Large Language Models | MLOps | Microservices | Model versioning | Monitoring | Networking | Observability | PGVector | Pinecone | Programming interfaces | Prompt engineering | Redis | Retrieval-Augmented Generation | Secrets management | Serverless | Vector Databases | Web Services
Education
N/A
Roles
Regions
Countries
States
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