Sr. AI Solution Architect, Generative and Agentic AI

Work Location: Toronto, Ontario, Canada Hours: 37.5 Line of Business: Technology Solutions Pay Details: $115,600 - $163,200 CAD This role is temporarily eligible for a pay premium above the posted salary range that is reassessed annually. You are encouraged to have an open dialogue with your recruiter who can provide more specific pay details for this role. TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. Job Description: Role Overview The AI Solution Architect, Generative and Agentic AI is responsible for defining and guiding the end-to-end architecture of enterprise AI solutions intended for internal use. This role combines hands-on solution architecture, platform thinking, and technical leadership. You will define patterns across LLMs, Retrieval-Augmented Generation (RAG), multi-agent systems, and orchestration frameworks while ensuring solutions are secure, scalable, cost-aware, and production-ready. Operating at the Product Group level, this role establishes the technical vision, architecture principles and reusable patterns that enable multiple AI product teams to deliver coherent, secure, scalable and production-ready AI capabilities. The architect ensures solutions work together effectively, integrate with enterprise platforms and other Product Groups, and align with TD architecture, cybersecurity, data, risk and compliance standards. Key Responsibilities PRODUCT

• Define and maintain the Product Group’s technical vision, architecture roadmap, principles and constraints
• Design end-to-end architectures for complex, distributed generative AI solutions from concept through production and ongoing enhancement
• Key lead in design and/or development of a technology domain architecture strategy, policies, ‘guiding principles’ and standards to govern how technology solutions will be developed and implemented
• Research/analyze business requirements to evaluate and recommend optimal solutions within technology architecture
• Ensure architectural coherence across product teams and establish clear solution boundaries, integration contracts and technical responsibilities.
• Lead detailed solution architecture and design ensuring it meets requirements / complies with the architectural and security standards, patterns and frameworks and provide sign-off on the detailed design
• Partner with product leadership to translate business outcomes and product strategy into an actionable technical roadmap and advise on technical opportunities, dependencies, risks and investment trade-offs
• Conduct pre and post implementation reviews, ensuring all technical solutions have met business requirements
• Establish functional and non-functional requirements covering security, privacy, reliability, scalability, performance, interoperability, maintainability, auditability and cost
• Evaluate architecture options based on value, risk, complexity, total cost of ownership and enterprise alignment
• Steer the process of development, documentation, communication and execution of a comprehensive strategy, policies and solutions
• Resolve cross-team architecture issues and lead integration with enterprise platforms, shared services and other Product Groups SHAREHOLDER
• Adhere to enterprise frameworks or methodologies that relate to activities for area
• Ensure products are compliant with technology domain architecture and design/operate processes to provide ongoing review of in progress activity against technology architecture and development standards
• Protect/enhance the security, availability of technology, brand integrity and shareholder value by establishing parameters for continued investment in technology solutions, and providing technical risk analysis / assessment
• Identify enhancements and gaps in architectural frameworks, standards and patterns to raise issues for inclusion in future versions
• Ensure respective programs/ policies/practices are well managed, meets business needs, complies with internal and external requirements, and aligns with business priorities
• Protect the interests of the organization – identify and manage risks, and escalate non-standard, high risk activities as necessary
• Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts
• Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite
• Lead, motivate and develop relationships with internal and external business partners / stakeholders to develop productive working relationships EMPLOYEE / TEAM
• Participate fully as a member of the team, support a positive work environment that promotes service to the customers, quality, innovation and teamwork and ensure timely communication of issues/ points of interest
• Develop prototypes, proofs of concept and reference implementations to validate architecture decisions and emerging patterns
• Work directly with engineers to test integration approaches, retrieval techniques, agent behaviors and platform capabilities
• Use code, configuration and technical experiments to assess feasibility, security, performance and cost where required
• Help resolve complex issues spanning solutions, platforms, data and integrations.
• Codify reusable patterns, capabilities, decisions, reference implementations and lessons learned
• Provide thought leadership and/ or industry knowledge for AI quality engineering best practices and participate in knowledge transfer within the unit
• Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques
• Contribute to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices; may take on the role of Chapter Lead as applicable
• Contribute to a fair, positive and equitable environment that supports a diverse workforce BREADTH & DEPTH
• Seasoned individual contributor role with expert knowledge of generative AI solutions domain and a demonstrated track record working with a broad range of architecture frameworks, technology, tools, processes and procedures
• Exceptional collaboration, communication and client-facing skills
• Big-picture thinker, with ability to anticipate architectural gaps and identify emerging trends through both advanced business acumen and highly specialized technical knowledge of TD and its applications, programming languages, industry best practices, Bank standards, infrastructure and architectural design / solutions
• Architectural generalist assigned to work autonomously on high profile, complex and/or high-risk technology projects with significant impact to the organization EXPERIENCE & EDUCATION
• Undergraduate degree or Technical Certificate
• Graduate degree, preferred
• 10+ years relevant experience
• Demonstrated experience leading end-to-end architecture for high-risk, high-complexity or strategically important solutions.
• Significant AI or machine learning solution experience, including recent hands-on work with Generative and Agentic AI.
• Experience moving AI solutions from proof of concept into secure, scalable and supportable production use.
• Hands-on experience developing prototypes, reference implementations or production components to validate architecture decision