Generative AI Enterprise Architect
Tasks
- Define architectural strategy for generative AI and LLM capabilities
- Define patterns for ingestion transformation indexing embeddings and retrieval
- Evaluate observe and operate AI systems in production
- Guide AI handling of ambiguity variability and non deterministic behavior
- Orchestrate models data sources APIs and workflows into scalable systems
- Structure enterprise data and knowledge for AI use cases
Perks/Benefits
- 401k match
- Business resource groups
- Dental insurance
- FMLA leave
- Life insurance
- Medical insurance
- Paid Long Term Disability
- Paid Short Term Disability
- Paid parental leave
- Paid time off
- Paid volunteer time
- Tuition reimbursement
- Vision insurance
- Work-life balance
Skills/Tech-stack
API Integration | AWS | AWS Bedrock | CI/CD | Data Modeling | Data Pipelines | Distributed Systems | Embeddings | Event Driven | Event-driven architecture | Human-in-the-loop | Hybrid search | IAM | Information Retrieval | Infrastructure as Code | LLM orchestration | Model selection | Observability | RAG | Retrieval-Augmented Generation | Search Indexing | Semantic Search | Snowflake | The Loop | Tool-Calling | Vector Databases | “as-code”
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