AI Engineer

Position Details Role: AI Engineer Location: Mississauga, Ontario – Hybrid (4 days/week in office). Moving to Etobicoke in 2026. Company: Mattamy Asset Management Department: Information Technology Employment Type: Full-Time Reports to: Director, Platform Engineering Responsibilities Lead the architecture and design of agentic AI solutions, including RAG pipelines, LLM configuration, prompt and tool design, system integrations, and end‑to‑end data flow.

Own technical quality and engineering standards across all AI builds in alignment with the enterprise AI architecture and governance framework, including code review, design review, evaluation criteria, and production readiness. Write production‑grade code as a hands‑on contributor, prototype quickly, ship working solutions end‑to‑end, and stay close to the implementation details to make AI systems reliable. Build and maintain core AI components hands‑on – retrieval pipelines, agent orchestration, and integrations with enterprise systems and data sources.

Own production run of deployed AI solutions – observability, evaluations, incident response, and ongoing tuning for accuracy, latency, cost, and drift. Establish and maintain architecture documentation, reference patterns, and runbooks so the program can scale across multiple concurrent builds. Embed responsible AI practices into every build – data privacy, access controls, prompt and output safety, evaluation, and human‑in‑the‑loop where it matters.

Partner with business, data, and platform teams to translate prioritized AI use cases into production‑ready AI solutions that deliver measurable outcomes. Qualifications 5+ years of software engineering experience, including 2+ years building production AI/LLM solutions, or an equivalent combination of education and experience. Hands‑on experience building on Azure AI Foundry (or equivalent) with OpenAI / Azure OpenAI and Anthropic Claude – prompt design, tool/function calling, structured outputs, and managing cost, latency, and token limits.

Proven experience designing and shipping RAG pipelines – chunking, embeddings, vector stores, hybrid retrieval, re‑ranking, and grounding strategies that hold up in production. Experience leading agent architecture – orchestration, tool use, multi‑step reasoning, memory, and integration with enterprise systems and data sources. Strong software engineering fundamentals – Python or TypeScript, APIs, version control (Git), CI/CD, and Agile delivery tools such as Azure DevOps.

Experience running AI solutions in production – evaluation frameworks, observability, regression testing, and tuning for accuracy, latency, and cost. Working knowledge of responsible AI – data privacy and PII handling, access controls, prompt and output safety, bias and hallucination mitigation, and human‑in‑the‑loop design. Experience leading external delivery partners or vendor teams – setting technical direction, reviewing work, and signing off on quality, plus strong written and verbal communication with technical and non‑technical audiences.

Compensation & Benefits The expected base salary range for this position is $85,000 – $130,000. Actual pay may vary depending on your job‑related knowledge, competencies, and skills. You are also eligible to participate in Mattamy’s annual bonus program, which gives you the opportunity to increase your total compensation if business and individual goals are achieved.

Equal Opportunity Employer Mattamy Asset Management is committed to providing accommodation for people with disabilities. If you require accommodation through any aspect of the selection process, please notify us and we will work with you to meet your needs. #J-18808-Ljbffr