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Salary
$26k – $98k per year (Estimated)
Location
In office (Toronto)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Headquartered in Toronto, Ontario, Canada, Layer 6 AI is an artificial intelligence research laboratory and engineering organization operating as the AI center of excellence for TD Bank Group. Founded in 2016 and acquired by TD Bank in 2018, the company develops and deploys enterprise-grade deep learning, generative AI, and time-series forecasting models across retail banking, wealth management, and financial operations.

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Technology Solutions

Pay Details:

$81,600 - $115,200 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:

Department Overview

Join a team delivering enterprise-grade Salesforce solutions in a highly regulated, high-visibility environment where platform stability, secure design, traceability, and strong engineering discipline matter. This role supports critical business workflows and contributes to solutions that must balance speed, scale, governance, and long-term architectural integrity. The work includes scalable Salesforce development, integration patterns, and AI-enabled capabilities that require strong human-in-the-loop controls, clear trade-off analysis, and disciplined execution.

What You’ll Do

As a Software Engineer II with a strong Salesforce development profile, you will design, build, and support secure, scalable, and maintainable Salesforce solutions that operate in a critical enterprise environment. You will partner closely with product, architecture, risk, and delivery teams to develop solutions that are technically strong, operationally resilient, and aligned to governance expectations. This role is best suited for a hands-on engineer who combines deep Salesforce technical skills with strong judgment, ownership, and the ability to work through ambiguity in high-impact initiatives.

What You’ll Do Day to Day

  • Design and build robust Salesforce solutions using Apex, Lightning Web Components, flows, integrations, and secure data access patterns for enterprise-scale use cases.

  • Translate complex business requirements into clean technical designs, with strong attention to scalability, reusability, performance, and supportability.

  • Work on solutions where reliability, auditability, and controlled data access are essential, including capabilities that interact with sensitive business workflows and governed data boundaries.

  • Collaborate with architects, product partners, and cross-functional teams to document options, trade-offs, sequencing, and implementation approaches before development begins.

  • Contribute to a future-ready engineering foundation so new use cases, models, and capabilities can be onboarded without re-engineering the entire solution.

  • Support development through design, build, testing, deployment, and production stabilization, with a strong focus on quality engineering and operational readiness.

  • Troubleshoot complex platform, integration, and data issues in partnership with delivery and support teams.

  • Uphold strong engineering standards across code quality, documentation, DevOps discipline, risk controls, and secure SDLC practices.

AI Adoptability & Modern Engineering Expectations

We are looking for a candidate who can help the team adopt AI responsibly and practically within Salesforce engineering workflows. In this role, AI adoptability means using approved enterprise AI capabilities to improve developer productivity, design quality, summarization, classification, knowledge retrieval, and future workflow enablement-while respecting governance, access control, validation, and human review requirements.

Strong candidates should be able to:

  • Evaluate where AI can accelerate engineering work without compromising quality, compliance, or architectural integrity.

  • Design Salesforce solutions that are model agnostic where possible, so future AI capabilities can be introduced in a scalable and reusable way.

  • Work effectively with enterprise-approved model options such as GPT-based models and embeddings available through TD AI Platform environments, including examples like gpt-5, gpt-5-mini, gpt-4.1, gpt-4.1-mini, text-embedding-3-large, and model-router, depending on use case, cost, latency, and reasoning needs.

  • Understand when open-source or specialized models may be better suited for specific scenarios in approved dev/POC contexts, including examples such as Meta-Llama-3.1-70B-Instruct, Qwen2.5-14B-Instruct, granite-8b-code-base-4k, and approved embedding or safety models.

  • Apply sound judgment around model selection, prompt quality, validation, monitoring, and safe adoption in enterprise delivery contexts.

Where You’ll Work

Regular collaboration across engineering, product, architecture, and delivery partners. This role requires close engagement with cross-functional stakeholders and active participation in planning, refinement, design reviews, and delivery activities.

EXPERIENCE AND / OR EDUCATION

  • Salesforce engineering depth: Strong hands-on development experience with Apex, Lightning Web Components, SOQL/SOSL, platform security, and integration patterns in enterprise Salesforce environments.

  • Architecture and design judgment: Ability to break down complex requirements, document technical options and trade-offs, and design scalable, reusable solutions aligned with longer-term target state architecture. This reflects recent team discussions emphasizing blueprinting, sequencing, and trade-off documentation before execution.

  • Engineering rigor in critical environments: Experience delivering solutions in environments where testing, controlled rollout, auditability, traceability, and human oversight are important to production quality and governance. Internal risk materials highlight training, validation, controlled write behavior, monitoring, and restricted field access as important delivery expectations.

  • Integration and data handling: Strong understanding of API-based integrations, data flows, error handling, and secure movement of business data across systems.

  • Ownership and collaboration: Strong communication, stakeholder management, and execution skills, with the ability to work across product, architecture, risk, and delivery teams to move high-priority initiatives forward.

  • Undergraduate degree, Postgraduate degree or Technical Certificate

  • Strong academic background (e.g., computer science, engineering)

  • 3-5 years relevant experience

Preferred experience

  • Experience in Financial Services Cloud, wealth or banking workflows, or other regulated enterprise domains.

  • Experience supporting AI-enabled Salesforce use cases, including summarization, classification, workflow assistance, retrieval, or model output operationalization with human-in-the-loop controls. The internal Copilot/Salesforce materials explicitly reinforce human review, limited write scope, traceability, and validation before publishing.

  • Familiarity with enterprise AI platforms, model selection, embeddings, prompt design, and responsible AI adoption patterns using approved model ecosystems.

  • Experience with DevOps, CI/CD, automated quality checks, release governance, and environment management in Salesforce delivery.

  • Ability to mentor peers, raise engineering standards, and be a strong technical voice within delivery teams.

What Success Looks Like

  • You build solutions that are technically strong, secure, scalable, and supportable.

  • You help the team move faster without compromising governance, testing discipline, or architectural quality.

  • You bring strong technical depth and practical judgment to both platform engineering and AI-enabled solution design.

  • You raise the bar for solution quality, design clarity, and execution in a high-critical environment.

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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