Design cloud architectures for LLM applications, retrieval, and agent patterns with Escalon. This remote-friendly role connects technical decisions to enterprise delivery. As an AI Solutions Architect, you shape solutions that integrate large language models with systems, knowledge sources, and APIs. You select models, retrieval approaches, and orchestration patterns while documenting cost, latency, accuracy, and risk trade-offs. You also define evaluation, monitoring, and governance for production systems. Key Responsibilities:

Design cloud architectures for LLM applications and agents Choose models, retrieval, and orchestration approaches Document cost, latency, accuracy, and risk trade-offs Define evaluation, monitoring,



and governance practices Present architecture recommendations to client audiences Requirements:

Experience delivering cloud systems at enterprise scale Hands-on experience with LLM applications and agent patterns Knowledge of security, identity, access control, and privacy Robust integration, API, reliability, and failure-handling skills Ability to explain technical trade-offs clearly Apply cloud architecture, LLM integration, evaluation, and governance expertise to production-focused enterprise AI systems at Escalon.

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📌 Generative AI Cloud Architect (Toronto)
🏢 Escalon
📍 Toronto