AI Architect - Business Applications
San Francisco, CA, United States
USD 138K-225K Senior-level Full Time
Tasks
- Apply modern AI techniques including RAG and fine tuning
- Build AI ML models for business use cases
- Build GenAI agentic workflows
- Collaborate to operationalize models from prototype to production
- Debug production model and feature failure modes
- Define evaluation criteria for AI feature quality
- Define technical roadmap and architecture for AI product delivery
- Design develop and deploy scalable data products
- Implement monitoring and safe use guardrails
- Instrument production systems for latency cost reliability and accuracy
- Translate technical outputs into stakeholder ready narratives
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Access Control | Agent Frameworks | B testing | Cost Optimization | Experimentation | Fine Tuning | Human-in-the-loop | JavaScript | LLM APIs | Langchain | Language Models | Large Language Models | Latency optimization | Machine Learning | Model Deployment | Model Development | Observability | Orchestration frameworks | PII | Prompt engineering | Python | RAG | Responsible AI | SQL | The Loop | Tracing | Vector Databases
Education
Roles
AI | AI Architect | Architect | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
Regions
Countries
States
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