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Associate Vice President, Agentic Software Development

Toronto, ON, Canada

$160,000 - $200,000 CAD · Full-time

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Job details

Pay: $160,000 - $200,000 CAD
Job type: Full-time
Apply by: Nov 27, 2026
Posting language: English
Posted: Oct 28, 2026

Original job description

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, environment 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 benefits realization.

Skills, Education And Experience

University degree in Computer Science, Engineering, Business or a related discipline; advanced degree is an asset.
15+ years of progressive technology leadership experience, including enterprise engineering, platform ownership, AI transformation and large-scale technology delivery in a complex regulated environment.
Demonstrated accountability for an enterprise capability, significant investment portfolio and measurable business outcomes across multiple portfolios or business lines.
Proven authority to establish enterprise standards, governance, architecture direction and control practices, including making high-impact trade-offs and resolving complex cross-enterprise conflicts.
Deep knowledge of PDLC/SDLC, modern software engineering, DevSecOps, cloud platforms, AI-enabled development practices, quality engineering, cybersecurity, resilience and technology risk management.
Experience leading large multidisciplinary organizations and matrixed delivery networks, with accountability for workforce strategy, senior talent, vendors and sustained operating performance.
Strong financial and commercial acumen, including portfolio planning, business cases, funding allocation, benefits realization, vendor selection and contract performance management.
Executive-level communication and influence, with the judgment and credibility to advise and challenge CIO, CTO, Architecture, Cybersecurity, Risk and Control leaders.
Experience in a large, regulated financial institution and strong knowledge of technology risk, regulatory and control expectations.

Who We Are

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package

Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information

We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding

We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process

We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation

Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec Only)

Sans Objet

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More about this job

Responsibilities

Lead the enterprise AI engineering capability across Canada and the United States, setting strategy, standards, governance, platforms, investment priorities, and measurable outcomes. Own enterprise test data management, quality engineering and design tooling, while leading the organization, investment portfolio, modernization efforts, and executive reporting.

Requirements

Requires a university degree in Computer Science, Engineering, Business, or a related discipline; an advanced degree is an asset. Candidates should have 15+ years of progressive technology leadership experience, including enterprise engineering and AI transformation, with demonstrated ownership of large-scale investment portfolios, multidisciplinary teams, and technology risk in a regulated financial institution.

Skills

Enterprise AI Engineering
AI-Enabled Software Development
SDLC And PDLC
DevSecOps
Cloud Platforms
Quality Engineering
Test Data Management
Cybersecurity
Technology Risk Management
Enterprise Architecture
Portfolio Planning
Financial And Commercial Acumen
Vendor Management
Workforce Strategy
Executive Communication
Regulatory Compliance

Benefits

Health And Well-Being Benefits
Savings And Retirement Programs
Paid Time Off
Banking Benefits And Discounts
Career Development
Reward And Recognition Programs

Visa sponsorship

Not detected in the job text

Keywords

Agentic Software Development
Enterprise AI Engineering
AI Transformation
AI-Enabled Development
SDLC
PDLC
DevSecOps
Cloud Platforms
Test Data Management
Synthetic Data
Quality Engineering
Test Automation
Quality Orchestration
Performance Testing
Non-Functional Testing
Design Tooling
Reference Architectures
Engineering Standards
Technology Governance
Cybersecurity
Technology Risk
Resilience
Platform Strategy
Portfolio Planning
Investment Management
Vendor Strategy
Benefits Realization
Legacy Modernization
Regulatory Compliance
Developer Productivity

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