AI / ML Product Engineer

Role overview

AI program leadership

• Own portfolio vision, objectives, and key results; define and prioritize backlog items with clear acceptance criteria.
• Turn business requests into scoped use cases, run short iterations, track risks and dependencies, and communicate with stakeholders and senior leaders.
• Develop ROI business cases that include the full costs of running AI in production.

Engineer enablement

• Design training for platform engineers and developers on agents, multi-agent workflows, and RAG.
• Create reusable demos, slide decks, labs, sample code, and reference architectures; run workshops, demos, and office hours.
• Teach AI context structuring, evaluation, failure recognition, and cost control; build a community of practice and measure adoption.

AI platform engineering

• Prototype agents, RAG pipelines, and multi-agent workflows to test ideas before teams commit.
• Design evaluation suites with test sets, automated evaluations, regression checks, and metrics.
• Work with engineers on LLMOps practices, including AI CI/CD, monitoring, versioning, and observability.
• Apply AI security guardrails, including prompt-injection defenses, content filtering, access controls, and human approval for high-risk actions.
• Ensure solutions meet internal security, privacy, regulatory, and responsible AI standards for financial services.

Education and experience

• At least 5 years in cloud, platform engineering, technical product ownership, or technical program management.
• At least 2 years of hands-on generative AI experience building or shipping LLM applications, agents, or RAG solutions.
• Working knowledge of Azure, AWS, or GCP and its AI services; practical Python and experience with an LLM or agent framework.
• Understand RAG components, AI evaluations and failure modes, and security risks such as prompt injection and data leakage.
• Demonstrated Agile backlog management with tools such as Jira and Confluence, and ability to influence senior stakeholders.
• Experience teaching technical topics and strong communication skills, including explaining complex AI ideas clearly.

Pay details

• Posted base salary range is CAD $154,000–$199,500; the role is temporarily eligible for a pay premium reassessed annually.

About TD

Total rewards

• Total rewards include base salary, variable compensation, health and well-being benefits, savings and retirement programs, paid time off, banking benefits, career development, and recognition.