Top Tech Jobs & Startup Jobs in Toronto

Designs and leads scalable AWS and Databricks data pipelines, data models, quality frameworks, monitoring, testing, and production deployments. Investigates ambiguous data and business problems independently, translating requirements into secure, reliable technical solutions. Mentors engineers, establishes architecture and coding standards, and partners with architecture, analytics, product, and business teams. Supports AI readiness, data unification, metadata strategy, and enterprise integration initiatives.

Leads the architecture and delivery of enterprise data engineering solutions using Databricks, AWS, and Lakehouse technologies. Builds scalable batch and streaming pipelines, reusable metadata-driven frameworks, governed data products, and AI-ready foundations. Leads platform modernization, data quality, observability, CI/CD, infrastructure automation, and Generative AI enablement. Mentors engineers, advises stakeholders, and drives architecture standards, governance, and technical initiatives.

Leads AI research teams and guides advanced research initiatives from experimentation through production adoption. Evaluates emerging AI methods, oversees rigorous benchmarking and validation, builds academic and internal partnerships, and collaborates with engineering, product, and business teams. The role balances exploratory research with enterprise delivery while advancing responsible, secure, reliable, and scalable AI capabilities. It also influences AI strategy, technical investment decisions, and organizational standards for research excellence.

Leads Vanguard Canada's digital marketing strategy across paid, owned, and earned channels. Oversees customer acquisition, engagement, retention, personalization, analytics, marketing technology, paid media budgets, agency partnerships, and regulatory-compliant communications. Builds integrated digital experiences for investors and advisors, partners with data and technology teams, evaluates emerging AI and marketing solutions, and develops a high-performing digital marketing team.

Leads the architecture, development, deployment, scalability, reliability, and operational excellence of enterprise AI and machine learning systems. Partners with researchers to productionize LLMs, agentic AI, and responsible AI capabilities; establishes MLOps and LLMOps practices; oversees observability, incident response, performance, security, and governance; and mentors engineers while providing senior technical leadership.

Serve as the office’s first point of contact by welcoming visitors, managing front-desk communications, coordinating meetings and hospitality, overseeing mail, couriers, supplies, and vendors, and maintaining an organized workplace. Provide administrative, scheduling, event, onboarding, safety, and project support while delivering professional client and employee service. Requires strong organization, communication, judgment, and Microsoft Office proficiency.

Design, deploy, and operate enterprise AI/ML solutions across AWS, including machine learning pipelines, MLOps, Generative AI, LLMs, retrieval systems, knowledge graphs, and real-time applications. The role requires production software engineering, data engineering, model monitoring, governance, security, and responsible AI expertise. The engineer will partner with stakeholders, lead technical design discussions, influence architecture, and mentor team members while supporting scalable, cloud-native AI services.