Sr. AI Solution Architect, Generative and Agentic AI

Role overview

Product and architecture responsibilities

• Maintain the Product Group technical vision, architecture roadmap, principles, and constraints; design generative AI solutions from concept through production.
• Set architecture strategy and standards, analyze business requirements, recommend solutions, and establish coherent boundaries and integration contracts across product teams.
• Lead detailed designs and sign-off, translate product strategy into technical roadmaps, and advise on dependencies, risks, opportunities, and investment trade-offs.
• Conduct implementation reviews and define security, privacy, reliability, scalability, performance, interoperability, maintainability, auditability, and cost requirements.
• Evaluate architecture options, resolve cross-team architecture issues, and lead integration with enterprise platforms, shared services, and other Product Groups.

Risk, collaboration, and prototyping

• Ensure products comply with architecture and design standards; assess technical risks, protect security and availability, and escalate non-standard high-risk activity.
• Monitor emerging issues, trends, and regulatory requirements; identify gaps in architecture frameworks, standards, and patterns.
• Develop prototypes, proofs of concept, and reference implementations; work with engineers to test retrieval, integration, agent behavior, and platform capabilities.
• Use code, configuration, and experiments to assess feasibility, security, performance, and cost; codify reusable patterns and lessons learned.
• Collaborate with stakeholders, mentor colleagues, share knowledge, and help resolve complex solution, platform, data, and integration issues.

Experience and education

• Undergraduate degree or technical certificate; a graduate degree is preferred.
• 10+ years of relevant experience and a demonstrated record leading architecture for high-risk, high-complexity, or strategically important solutions.
• Significant AI or machine learning solution experience, including recent hands-on generative and agentic AI work.
• Experience taking AI solutions from proof of concept to secure, scalable, supportable production and developing prototypes or reference implementations.
• Strong knowledge of LLMs, RAG, vector and hybrid search, grounding, agent architectures, tool integration, and orchestration frameworks.
• Strong understanding of APIs, event-driven integration, distributed systems, and modern software architecture.
• Understanding of semantic and context architectures, data governance, privacy, security, access controls, AI evaluation, benchmarking, observability, responsible AI, and monitoring.
• Experience incorporating human review, approval, escalation, and fallback mechanisms into AI-enabled workflows.
• Seasoned individual contributor with expert generative AI knowledge, broad architecture expertise, exceptional collaboration and communication skills, and ability to work autonomously on complex projects.

Preferred experience

• Experience with Microsoft Copilot Studio, Copilot extensibility, or comparable enterprise agent platforms is a plus.
• Experience with multiple commercial and open-source model ecosystems, production agentic or multi-agent systems, or enterprise AI platforms such as Azure AI or Google Cloud AI is a plus.
• Knowledge of knowledge graphs, semantic models, or enterprise context architectures is a plus.
• Familiarity with infrastructure as code, CI/CD, modern DevOps, AI red teaming, adversarial testing, or AI security architecture is a plus.
• Experience contributing to enterprise AI strategy, operating models, or architecture practices and relevant cloud or architecture certifications is a plus.

Compensation

• The posted pay range is $115,600–$163,200 CAD; the role is temporarily eligible for a pay premium that is reassessed annually.
• The posting does not specify the pay cadence.

Work location and hours

• Work location is listed as Toronto, Ontario, Canada.
• The stated work hours are 37.5; the posting does not specify an onsite, hybrid, or remote arrangement.

About TD