Engineering
AI Architect. Designs the end-to-end AI solution: models, data, integration, security and cost.
Profile
- Area
- Engineering
- Skills
- Solution architecture, Cloud architecture, LLM system design, Security and identity, Integration patterns, Cost modeling, Technical leadership, Model selection and routing
- Technologies
- AWS Bedrock, Azure OpenAI, Vertex AI, Kubernetes, Terraform, MCP, pgvector, OpenTelemetry
What they do
- Define reference architectures for GenAI and ML
- Choose models, platforms and hosting strategy
- Design secure integration with enterprise systems
- Plan for scalability, reliability and cost (FinOps)
- Set standards for evaluation, observability and governance
- Lead technical decisions across a Pod