Principal AI Solutions Engineer Job Toronto area,Ontario Canada,Software Development

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In this role, you will:

Own end-to-end solution architecture for the highest-complexity, highest-business-value AI engagements across Scotiabank’s business lines — including multi-agent agentic solutions built on Vertex AI Agent Engine and Google ADK / Lang Graph, RAG solutions spanning Vertex AI Vector Search and Mosaic AI Vector Search, LLM-powered automation integrated through the Apigee X LLM Router, and ML-assisted decision systems on the Azure Databricks ML Platform — from discovery through to production deployment inside the Montreal walled garden.

Author the function-wide AI solutions reference library: canonical solution patterns, integration blueprints, and architectural decision records for recurring AI use-case categories — conversational AI, document intelligence, agentic workflow automation, real-time recommendation, risk signal generation — written at the precision required for squads to implement without ambiguity and at the clarity required for business unit CTOs to approve.

Lead technical discovery and solution design for strategic AI programmes — partnering with business unit product owners and domain experts to translate ambiguous business problems into structured AI solution designs with explicit feasibility, regulatory risk, data dependency, and platform integration assessments before a squad commits to delivery.

Define and own the AI solution adoption playbook for business line teams: onboarding architecture for Vertex AI Agent Engine and Agentspace, integration patterns for the MCP Control Gateway’s tool ecosystem, data access and data sharing patterns compliant with PIPEDA and Quebec Law 25, model selection guidance for Gemini, Claude, GPT-5.x (via APIM), and open-weights (Llama), and the solution-tier controls framework that separates dev-built, business-user-built, and agent-built AI in production.

Engage as a technical peer with Principal AI and ML Engineers, Enterprise Architecture, and the Chief AI Officer’s office in cross-function solution governance forums — providing authoritative technical positions on how platform capabilities are exposed to business lines, influencing the AI Platform roadmap based on aggregate solution demand signals, and translating OSFI E-23, OSFI B-13, OSFI B-10, PIPEDA, AIDA, and Quebec Law 25 requirements into solution-layer controls embedded in adoption playbooks.

Lead proof-of-concept and technical validation programmes for strategic AI use cases — designing evaluation methodology, authoring evaluation frameworks using Mosaic AI Agent Evaluation and Vertex AI Evaluation, interpreting results with business stakeholders, and making the go/no-go production recommendation with a concrete technical risk register.

Own function-wide AI solution quality standards: define the solution-layer quality bar that sits above squad-level engineering standards — minimum evaluation coverage, responsible AI instrumentation via Model Armor and Sensitive Data Protection, Azure AI Content Safety + Prompt Shields, explainability requirements for model-assisted decisions in regulated product lines, and the audit evidence packaging required for OSFI E-23 model risk management review.

Identify systemic solution delivery friction — integration complexity, data access blockers, regulatory ambiguity, platform capability gaps — and drive resolution through platform roadmap influence, architecture standard updates, or direct co-design with the AI Platform engineering team; produce the gap analysis that informs the function’s quarterly platform investment decisions.

Mentor Senior and Staff AI Solutions Engineers and cross-functional embedded technical leads: conduct solution architecture reviews, develop engineers toward independent solution leadership on complex engagements, and raise the function-wide AI solution delivery capability.

Represent AI and Agentic Engineering’s solution delivery capability externally: present at industry forums on enterprise AI adoption patterns, contribute to responsible AI and financial services AI standards bodies, and build Scotiabank’s credibility as a reference architecture in enterprise AI at scale.

Do you…