Senior AI Solutions Architect - Python AWS React Kubernetes CPC Card
Overview
Lead design of intelligent systems as Socratic tutor persona driving adaptive learning recommendation engines and multi-modal AI solutions. Own model quality RAG accuracy prompt engineering and AI safety across applications. Build scalable AI platforms in San Francisco Bay Area. Differentiate by focusing on end-to-end AI architecture and cross-modal integration.
What You'll Do7
- 1Design and implement AI solutions using Python and AWS services
- 2Develop adaptive learning recommendation engines with Spark and Airflow
- 3Engineer multi-modal AI systems supporting text and voice interactions
- 4Create RAG evaluation frameworks and integrate feedback loops into retrieval pipelines
- 5Orchestrate LLM call chains including NeMoGuardrails intent classification query rewriting and RAG synthesis
- 6Scale AI infrastructure using Kubernetes and containerization best practices
- 7Drive AI safety initiatives through robust quality assurance processes
Requirements11
- 15+ years building ETL pipelines with Spark and Airflow
- 23-5 seasons leading large-scale AI projects
- 3Expertise in Python development and deployment
- 4Proficiency with AWS cloud services and certification
- 5Strong knowledge of machine learning frameworks and model optimization techniques
- 6Experience with Kubernetes for microservices architecture
- 7Familiarity with Prompt Engineering principles and best practices
- 8Understanding of RAG implementation and evaluation methodologies
- 9Background in AI safety protocols and ethical considerations
- 10Ability to work collaboratively in agile development environments
- 11Demonstrated leadership skills in technical teams
Salary Insight
$180 - $300k per year
Location
Required Skills
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