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Senior Data Architect to lead enterprise-level data architecture assessments with a focus on resilience, DR, governance, and third-party SaaS platforms.This strategic role targets senior architects with deep cloud and governance expertise.The role involves evaluating SaaS vendors' DR capabilities, i

Senior Data Architect to lead enterprise-level data architecture assessments with a focus on resilience, DR, governance, and third-party SaaS platforms.This strategic role targets senior architects with deep cloud and governance expertise.The role involves evaluating SaaS vendors' DR capabilities, i

Tasks include architecting Model Context Protocol servers, implementing RAG pipelines, and deploying observability solutions tailored for AI metrics.

Familiarity with model governance requirements — including explainability, version control, and documentation for AI systems in regulated environments. Knowledge of zero-trust security principles and least-privilege access patterns for AI agent tool integrations. Apply SRE best practices to AI wor

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 engineerin

Elevate your engineering career as a Lead Technical Specialist in Hardware Application Design.Drive innovation and precision in railway signaling systems and hardware applications.With 5–10+ years in hardware application design, you will lead multiple projects, resolve technical challenges, and en

To produce complex Hardware Application designs, bookwirings, and equipment designs that meet requirements using established engineering processes and railway signaling principles.

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 engineerin

Apply SRE best practices to AI workloads — ensuring high availability, fault tolerance, incident response playbooks, and SLO/SLA management for LLM inference services. Build and maintain CI/CD pipelines tailored for machine learning models, including prompt versioning, model evaluation gates, shad

Tasks include architecting Model Context Protocol servers, implementing RAG pipelines, and deploying observability solutions tailored for AI metrics.