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 environments . 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. Strong across

RAG, embeddings, vector search, agents, prompt/model orchestration, and AI APIs . Comfortable with

AWS/Azure/GCP, APIs, data architecture, distributed systems, and modern 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. Robust Compensation

– up to

$200K+ base .

📌 AI Solutions Architect (Winnipeg)
🏢 SearchLabs
📍 Winnipeg