Are you an
AI Solutions Architect who has actually taken AI into production ?Have you designed systems using
LLMs, RAG, agents, vector search, and model orchestration
beyond the POC stage?Do you want to help shape how a growing organization builds and scales
production-grade AI ?We’re working with a Toronto-based organization making a significant investment in AI and looking for someone who can bridge
AI architecture, engineering, data, cloud, and the business .This is not simply a Software Engineer using AI tools to code. We’re looking for someone who has been responsible for
architecting, integrating, deploying, and scaling AI systems in real production settings .What You’ll Do
Architect end-to-end
GenAI and LLM-powered solutions
from POC through production.Design
RAG pipelines, agentic workflows, model orchestration, and enterprise AI integrations .Build architectures across
LLM APIs, embeddings, vector databases, data pipelines, APIs, and cloud infrastructure .Define approaches around
model evaluation, observability, security, governance,



and guardrails .Make architectural decisions around
latency, scalability, reliability, cost, and model performance .Work across engineering, data, cloud, product, and business teams to turn AI use cases into production systems.You Are
Experienced delivering
LLM / GenAI systems into production, not just prototypes.Solid across
RAG, embeddings, vector search, agents, prompt/model orchestration, and AI APIs .Comfortable with
AWS/Azure/GCP, APIs, data architecture, distributed systems, and up-to-date software architecture .Familiar with
MLOps/LLMOps, evaluation frameworks, monitoring, AI security, and responsible AI practices .Able to translate complex business requirements into scalable AI architecture.Why This Role
Real AI Engineering
– production systems, not AI demos.Architecture Ownership
– influence how AI is designed, integrated, governed, and scaled.Strong Compensation
– up to
$200K+ base .
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📌 Ai Solutions Architect Winnipeg
🏢 SearchLabs
📍 Winnipeg