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AI Solutions Architect

SearchLabs•Toronto, Ontario
Full-time
👁️ 0 views•📝 0 applications•Posted 9/14/2026•Expires 10/14/2026
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Job Description

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. • Strong Compensation – up to $200K+ base . #J-18808-Ljbffr

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