Principal AI Data Architect
Tasks
- Create target architecture roadmaps
- Deliver full stack AI prototypes and production solutions
- Deploy Retrieval-Augmented Generation pipelines
- Design AI infrastructure and orchestration layers
- Develop agentic AI architecture deliverables
- Develop data architecture blueprints
- Ensure scalable observable cloud deployments
- Evaluate and deploy emerging AI frameworks
- Implement entity resolution strategies
- Integrate tools and data retrieval patterns
- Optimize prompts and context for accuracy
- Translate business requirements into AI solution designs
Perks/Benefits
- 401k savings plan
- Adoption benefits
- Career development
- Disability benefits
- Employee assistance program
- Employee discounts
- Flexible spending accounts
- Health savings account
- Life insurance
- Paid time off
- Parental leave
- Tuition reimbursement
- Volunteer time
Skills/Tech-stack
API Design | AWS | AWS Neptune | Agent systems | Artificial Intelligence | Authentication | Authorization | Azure | Azure OpenAI | Context engineering | Copilot Studio | Cosmos DB | Data Warehousing | Docker | DuckDB | Embeddings | Entity Resolution | Function Calling | Graph Databases | Kubernetes | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Microsoft 365 | Microsoft 365 Copilot | Microsoft 365 Copilot Studio | Model Monitoring | Multi-Agent | Multi-Agent Systems | Neo4j | OLAP | Observability | Prompt engineering | Redis | Retrieval-Augmented Generation | Semantic Kernel | Snowflake | Snowflake Cortex | Tool orchestration | Vector Databases
Education
N/A
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