
Principal AI Engineer
- Mississauga, ON
- $156,000-174,000 per year
- Permanent
- Full-time
- Set the technical vision and reference architecture for agentic AI across products-defining org-wide standards for reasoning loops, tool use/function calling, memory, safety, and interoperability.
- Build and govern reusable platform components-model broker & multi-model routing, orchestration services, evaluation harnesses, prompt/versioning stores, and telemetry-to accelerate adoption across teams.
- Build and govern reusable platform components-model broker & multi-model routing, orchestration services, evaluation harnesses, prompt/versioning stores, and telemetry-to accelerate adoption across teams.
- Drive cross-functional roadmaps and integration standards with Product, Engineering, Architecture, Advanced Tech, and SaaS Ops-setting API/versioning contracts, optimizing LLM/agent cost-performance, and mentoring engineers to raise the bar.
- Proven leadership shipping agentic AI at scale across multiple products, setting organization-wide standards for reasoning loops, tool use/function calling, memory, safety, and interoperability.
- Healthcare & regulatory context: familiarity with HIPAA, ONC-aligned practices, and clinical workflows for safe deployment in regulated environments.
- Master's degree or higher in Artificial Intelligence.
- Evaluation leadership: establishes offline/online evaluation methodologies for agent behavior and safety, with dashboards tied to business outcomes.
- Advanced Python expertise for production systems (testing, packaging, performance profiling) and deep experience extending agent frameworks such as LangChain, LangGraph, AutoGen, CrewAI, and/or LlamaIndex.
- Model serving and cost/perf optimization: experience with model broker patterns, multi-model routing, and serving stacks
- RAG/agent data pipeline expertise: document preprocessing (OCR/NER), chunking strategies, embeddings, vector stores, and data quality/versioning-with evaluation harnesses for quality, cost, and latency.
- Security & Responsible AI by design: hands-on implementation of RBAC, audit logging, privacy controls, and alignment with NIST AI RMF and ONC FAVES requirements in partnership with Platform PM, Regulatory, and Security.