Generative AI Enterprise Architect
Tasks
- Collaborate with engineering and platform teams on scalable architecture
- Define architectural strategy for generative AI and LLM platforms
- Design data flow for ingestion transformation indexing embeddings and retrieval
- Establish evaluation monitoring and operational practices for production AI systems
- Guide handling of non deterministic AI behavior
- Orchestrate models data sources APIs and workflows
- Set patterns for retrieval search and indexing
- Structure enterprise data and knowledge for AI use cases
Perks/Benefits
- 401k match
- Business resource groups
- Dental insurance
- Flexible work environment
- Life insurance
- Medical insurance
- Paid disability
- Paid parental leave
- Paid time off
- Paid volunteer time
- Tuition reimbursement
- Vision insurance
- Work-life balance
Skills/Tech-stack
API Integration | AWS Bedrock | Agent Orchestration | Agent systems | Amazon Web Services | CI/CD | Data Modeling | Data Pipelines | Data indexing | Distributed Systems | Embeddings | Event Driven | Event-driven architecture | Human-in-the-loop | Hybrid search | IAM | Information Retrieval | Infrastructure Monitoring | Infrastructure as Code | Language Models | Large Language Models | Multi-Agent | Multi-Agent Systems | Observability | Retrieval-Augmented Generation | Semantic Search | Snowflake | The Loop | Tool-Calling | Vector Databases | Web Services | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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