AI Sr. Application Engineer Lead Architect Intake IT Solutions San Francisco
Overview
Own the intelligence layer for multiple programs as an AI Sr. Application Engineer Lead Architect. Drive model quality RAG accuracy prompt engineering and AI safety across applications. Socratic tutor persona adaptive learning recommendation engine multi-modal AI text voice RAG evaluation framework feedback loop into retrieval 6-LLM call chain orchestration NeMoGuardrails intent classification query rewriting RAG synthesis. This is a FTE role based onsite in San Francisco Bay Area. What makes this role different is ownership of end-to-end AI pipeline architecture and cross‑product impact.
What You'll Do5
- 1Design Build and Scale LLM call chain orchestration using NeMoGuardrails intent classification query rewriting RAG synthesis
- 2Lead development of Socratic tutor persona adaptive learning recommendation engine multi-modal AI text voice
- 3Establish RAG evaluation framework and feedback loop into retrieval systems
- 4Own model quality across applications ensure AI safety governance
- 5Drive technical strategy for 6-LLM integration and platform scalability
Requirements11
- 15+ years building ETL pipelines with Spark and Airflow
- 23-5 seasons leading large-scale machine learning initiatives
- 3AWS Certified cloud infrastructure expertise
- 4CPC Card certification preferred
- 5Python proficiency required for AI development
- 6Kubernetes deployment experience mandatory
- 7React framework knowledge beneficial for dashboard interfaces
- 8BCBA certification optional but valued
- 95+ years experience with vector databases for RAG implementations
- 10Data engineering background with SQL and NoSQL systems
- 11Agile methodology familiarity essential for collaborative delivery
Salary Insight
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