Architect, Data AI
Durham, NC, United States
USD 164K-246K (estimate) Senior-level Full Time
Tasks
- Architect production AI systems
- Build Agentic AI workflows
- Build RAG pipelines
- Build and deploy machine learning models
- Develop generative AI solutions
- Establish responsible AI standards
- Implement AI ML pipelines on AWS
- Manage vector database solutions
- Optimize embeddings and hybrid search
- Orchestrate tools for autonomous workflows
- Perform model evaluation and monitoring
- Set AI ML technical strategy
- Translate business problems into measurable AI outcomes
- Use SQL for large dataset analysis
- Write Python code for modeling and deployment
Perks/Benefits
Skills/Tech-stack
API Gateway | AWS Bedrock | AWS Lambda | AWS SageMaker | Agentic AI | Amazon API | Amazon API Gateway | Amazon EKS | Amazon S3 | CI/CD | Classification | Clustering | Embeddings | Faiss | Generative AI | Hybrid search | LangFlow | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | Milvus | Pinecone | Python | RAG | Regression | SQL | Series forecasting | Snowflake | Time Series | Time Series Forecasting | Vector Databases | Weaviate
Education
N/A
Roles
AI | AI Architect | Architect | Data Science | Data Science Architect
Regions
Countries
States
Cities
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