Generative AI Enterprise Architect
Tasks
- Collaborate with engineering and platform teams on scalable architecture and design decisions
- Define AI evaluation monitoring and operational practices for production reliability and output quality
- Define architectural strategy for generative AI and LLM capabilities across enterprise
- Design data flow patterns for ingestion transformation indexing embeddings and retrieval
- Design system safeguards for non deterministic failure modes
- Establish patterns for retrieval augmented generation and knowledge based architectures
- Guide AI systems for ambiguity variability and non deterministic behavior
- Orchestrate models data sources APIs and workflows into scalable systems
- Structure and govern enterprise data and knowledge for AI use cases
Perks/Benefits
- 401k matching
- Dental insurance
- FMLA leave
- Flexible work environment
- 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
APIs | AWS Bedrock | Bedrock | CI/CD | Cloud Architecture | Data Modeling | Data pipeline | Distributed Systems | Embeddings | Event Driven | Event-driven architecture | Human-in-the-loop | Hybrid search | IAM | Infrastructure as Code | Knowledge graphs | Language Models | Large Language Models | Observability | Retrieval-Augmented Generation | Semantic Search | Snowflake | The Loop | Tool-Calling | Vector Databases | “as-code”
Education
Roles
AI | AI Architect | Architect | Data Architect | Enterprise Data Architect
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