AI Architect
Tasks
- Add LLM observability
- Conduct discovery scoping and client presentations
- Define tools and functions for agents
- Design and ship AI agent systems
- Design and ship RAG systems
- Hire and coach technical leaders and PMs
- Implement evals and guardrails
- Implement retrieval and vector search
- Implement structured JSON outputs
- Own SLO quality cost and velocity
- Pick and integrate LLM models
- Redact PII and enforce refusal policies
- Release with feature flags and canaries
- Set cost and latency budgets
- Stand up and run innovation squads
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | Arize Phoenix | Docker | Dspy | Embeddings | Feature Flags | GitHub Actions | Go | Grafana | Guardrails | JSON Schema | Kafka | Kubernetes | LLM Observability | Langfuse | Langgraph | Language Models | Large Language Models | LaunchDarkly | Model selection | NATS | Next.js | OpenSearch | OpenTelemetry | OpenTofu | PGVector | Pinecone | Postgres | Prompt engineering | Pydantic | Python | Qdrant | RAG | Redpanda | Reranking | Retrieval-Augmented Generation | Rédaction | Sentry | Serverless | Temporal | Terraform | Tool-Calling | TypeScript | Typesense | Unleash | Vector Databases | Weaviate
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Architect | Architect | Learning Architect | Machine Learning Architect
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