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.

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