Principal AI Platform Architect LLMOps
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Key Responsibilities
Define platform standards, runtime architecture, and technical roadmap Establish LLMOps, evaluation, governance, RAG, and optimization practices Build monitoring distinguishing model, code, and platform failures Engineer rollback, circuit breakers, degradation, and zero-downtime deployment Present architecture, progress, impact, and direction to executives
Requirements:
Deep prompt engineering and model lifecycle management experience Expertise in RAG, context management, and evaluation frameworks Mastery of CI/CD, Docker, Kubernetes, and infrastructure-as-code Experience with AWS, Azure, GCP, or enterprise platforms Background building scalable automated testing and validation Apply LLM engineering, platform architecture, evaluation, and reliability expertise to RBC’s governed AI-DLC delivery foundation. #J-18808-Ljbffr
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