AI Architect
USD 151K-246K (estimate) Senior-level Full Time
Tasks
- Apply responsible AI safety and bias mitigation
- Architect retrieval pipelines and embedding generation
- Build generative AI solutions using RAG
- Build reusable AI deployment templates
- Conduct proofs of concept and productionize prototypes
- Create architecture documentation and diagrams
- Design secure end to end AI architectures
- Develop model evaluation frameworks
- Ensure data quality lineage and access controls
- Establish guardrails for training and prompt usage
- Implement enterprise security patterns
- Implement hybrid search patterns
- Implement inference and orchestration pipelines
- Implement model lifecycle management
- Integrate AI components into operational workflows
- Optimize vector database schemas
- Perform architecture reviews and risk assessments
- Provide technical guidance mentoring and code reviews
Perks/Benefits
Skills/Tech-stack
AI Search | AI Studio | AWS Bedrock | Airflow | Amazon SageMaker | Azure AI | Azure AI Search | Azure AI Studio | Azure OpenAI | Azure Synapse | CI/CD | DBT | Databricks | Encryption | GCP Vertex | GCP Vertex AI | IAM | LLM | LLMOps | Langchain | Langgraph | MLOps | MLflow | Model Evaluation | Model Monitoring | Model Registry | Network Security | OpenSearch | PGVector | Pinecone | Prompt engineering | Prompt orchestration) | PyTorch | Python | RAG | Semantic Kernel | Snowflake | Spark | TensorFlow | Tokenization | Vector Search | Vertex AI | Weaviate
Education
N/A
Roles
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