A leading financial institution in Canada seeks an experienced Lead AI Engineer to drive AI system development in a regulated environment. This role involves architecting advanced AI solutions, implementing observability practices, and mentoring teams. Candidates should have over 8 years of engineering experience, expertise in LLM architectures, and strong leadership skills. Join a high-impact division to innovate in enterprise AI integration and compliance.
Qualifications
Experience with LLM applications in production environments.
Capability to implement Model Context Protocol (MCP) servers.
Understanding of financial data classification and compliance.
Responsibilities
Design AI systems with sophisticated multi-agent architectures.
Lead full-stack development of AI applications using Node.js and Python.
Implement observability stacks for performance metrics.
Skills
Deep understanding of LLM architectures
Prompt engineering and fine-tuning techniques
Experience building RAG and GraphRAG pipelines
Hands-on with the ELK Stack
Cloud-native architectures
Architectural influence in AI/ML systems
Education
Technical leadership or architectural experience
8+ years of progressive software engineering experience
Tools
Node.js
Python
Azure Kubernetes Service (AKS)
Elastic Stack
OpenTelemetry
Pinecone
Job description
A leading financial institution in Canada seeks an experienced Lead AI Engineer to drive AI system development in a regulated environment. This role involves architecting advanced AI solutions, implementing observability practices, and mentoring teams. Candidates should have over 8 years of engineering experience, expertise in LLM architectures, and strong leadership skills. Join a high-impact division to innovate in enterprise AI integration and compliance.