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.
Solid 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.
Strong Compensation – up to $200K+ base .

#J-18808-Ljbffr

📌 AI Solutions Architect (Ontario)
🏢 SearchLabs
📍 Ontario