Work Location Toronto, Ontario, Canada

Hours 37.5

Line Of Business Technology Solutions

Pay Details $160,000 - $200,000 CAD. 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 The AVP/Head of Agentic Software Development is responsible for the enterprise AI engineering capability across Canada and the U.S., with end-to-end accountability for strategy, operating model, platforms, standards, governance, investment priorities, adoption and measurable business outcomes across CIO portfolios. The role sets the multi-year vision, target state and roadmap for AI-enabled software engineering, translating enterprise strategy into funded plans, delivery commitments and sustained operating capabilities.

With formal decision authority over AI-enabled SDLC/PDLC, the role establishes, approves and enforces enterprise engineering standards, reference architectures, controls, tooling requirements and governance practices, approving exceptions or directing remediation to align with required standards, risk appetite and target-state architecture. It also owns the design, build, scaling, reliability,



security and lifecycle management of shared AI engineering platforms, products, tools and reusable capabilities, ensuring they operate as durable enterprise services rather than time-bound adoption initiatives.

Depth And Scope

Own the enterprise Test Data Management capability, including its platform strategy, service model, data provisioning, synthetic data capabilities, protection of sensitive information, setting integration, lifecycle management, and alignment with enterprise data, privacy, security and regulatory requirements.

Own the enterprise Quality Engineering tooling strategy, including test automation, quality orchestration, performance and non-functional testing capabilities, integrations with engineering workflows, platform reliability, adoption, tool rationalization, and measurable improvement in software quality and delivery efficiency.

Own the enterprise design tooling capability supporting product, experience and solution design, including platform strategy, practitioner workflows, collaboration, design-to-engineering integration, reusable assets, governance, accessibility and lifecycle management.

Hold direct accountability for the enterprise investment portfolio supporting the capability, including annual planning, business cases, funding allocation, prioritization, vendor strategy, commercial commitments, benefits realization and corrective action.





Make enterprise trade-off decisions across cost, speed, quality, security, resilience and risk; resolve cross-portfolio conflicts and dependencies; and determine sequencing and resource allocation within the approved mandate and funding envelope.

Own realization of defined enterprise outcomes, including developer productivity, delivery speed, software quality, security, resilience, developer experience, platform reuse and reduction in legacy or fragmented tooling. Establish baselines, targets and executive scorecards and intervene when outcomes are off track.

Identify and remove structural barriers to modernization across technology portfolios, including legacy platforms, duplicated investments, fragmented tooling, inconsistent engineering practices and unclear ownership. Direct enterprise remediation plans and hold accountable owners to agreed milestones.

Serve as the senior enterprise authority and escalation point for AI engineering capability decisions, providing recommendations and challenge to CIO, Architecture, Cybersecurity, Risk and Control leaders on material technology, investment and risk decisions.

Lead a multidisciplinary organization and matrixed enterprise network spanning engineering, product, architecture, data, cybersecurity, risk, vendor and change capabilities

Build and sustain the leadership, technical talent and operating capacity required to deliver the mandate, with accountability for organization design, workforce strategy, succession, performance, capability development and vendor mix.

Represent the enterprise capability in executive governance forums and provide transparent reporting on investment, delivery, risk, adoption and benefit

📌 Associate Vice President, Agentic Software Development (Canada)
🏢 TD
📍 Canada