AI/ML Engineer at Vanguard

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Entry Level & New Grad, Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, FinanceIndustries

Requirements

Master’s degree in computer science, Machine Learning, Artificial Intelligence, or a related field
1–3 years of experience (including internships or projects) in AI/ML engineering or software development
Solid Python programming skills and familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn)
Knowledge of LLMs and agentic principles
Experience with vector databases, data pipelines, and retrieval systems
Strong problem-solving skills and eagerness to learn new AI techniques and frameworks
Preferred Qualifications
Hands-on experience with LangChain, LangGraph or similar agentic frameworks
Familiarity with AWS cloud platforms and MLOps tools
Contributions to open-source AI/ML projects or agentic frameworks
Experience in building autonomous agents, RAG systems, or multi-agent workflows

Responsibilities

Design, prototype, and implement agentic systems for IT automation and resilience using LLMs and agent frameworks (LangChain, LangGraph, etc.)
Develop multi-agent workflows and coordinate agent collaboration for complex tasks
Build and optimize retrieval-augmented generation (RAG) pipelines for knowledge-driven agents
Contribute to the development and testing of robust, scalable agentic architectures and infrastructure
Collaborate with senior engineers and data scientists in feature development, experiments, and integration of research findings
Participate in code reviews, testing, and documentation to ensure quality and reliability

Skills

Key technologies and capabilities for this role

PythonTensorFlowPyTorchscikit-learnLangChainLangGraphLLMsRAGvector databasesdata pipelinesAWSMLOps

Questions & Answers

Common questions about this position

What is the work arrangement or location policy for this role?

Vanguard has implemented a hybrid working model for the majority of crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection.

What are the required skills and experience for this AI/ML Engineer position?

Required qualifications include a Master’s degree in computer science, Machine Learning, Artificial Intelligence, or a related field; 1–3 years of experience in AI/ML engineering or software development; solid Python programming skills and familiarity with ML frameworks like TensorFlow, PyTorch, scikit-learn; knowledge of LLMs and agentic principles; and experience with vector databases, data pipelines, and retrieval systems.

What does Vanguard's company culture emphasize?

Vanguard emphasizes a mission-driven and highly collaborative culture that supports long-term client outcomes and enriches the employee experience through hybrid work enabling in-person learning and connection.

What salary or compensation information is provided for this role?

This information is not specified in the job description.

What makes a strong candidate for this AI/ML Engineer role?

Strong candidates will have hands-on experience with LangChain, LangGraph or similar agentic frameworks, familiarity with AWS cloud platforms and MLOps tools, contributions to open-source AI/ML projects, and experience in building autonomous agents, RAG systems, or multi-agent workflows, in addition to the required skills.

Vanguard

Client-owned investment management firm offering low-cost funds

About Vanguard

Vanguard provides financial services with a focus on investment management. The company offers a variety of products, including mutual funds, exchange-traded funds (ETFs), individual retirement accounts (IRAs), and 401k rollovers, aimed at individual investors, financial advisors, and institutions. Vanguard's unique ownership structure means it is owned by its funds, which are in turn owned by the clients, allowing it to prioritize the needs of its investors over external shareholders. This model enables Vanguard to offer low-cost investment options, as it primarily earns revenue through management fees that are generally lower than industry standards. Additionally, Vanguard provides personalized investment advisory services, charging fees based on the assets managed. The company's goal is to help clients grow their wealth and achieve their financial objectives through effective investment strategies, while maintaining a competitive performance track record.

Kline Township, PennsylvaniaHeadquarters

1975Year Founded

SECONDARYCompany Stage

Fintech, Financial ServicesIndustries

10,001+Employees

Benefits

Best-in-class medical, dental & vision coverage

Onsite health clinic & fitness center

Health Smart Rewards program

Vanguard Retirement Savings Plan

Education Benefits

PTO

Family Planning Benefist

Parental leave

Personal development opportunities

Volunteer Time Off

Risks

Competition from AI-driven platforms like Writer challenges Vanguard's traditional advisory services.

Vanguard's stake in Steelcase exposes it to the volatile furniture market.

New active bond ETFs may struggle in a low-yield environment with increasing competition.

Differentiation

Vanguard is client-owned, aligning its interests with investors, unlike traditional firms.

The firm offers low-cost investment products, making it attractive to cost-conscious investors.

Vanguard's ownership structure allows it to focus on long-term investor value.

Upsides

Vanguard's new active bond ETFs offer diversified, low-cost fixed income options.

The acquisition of Steelcase shares diversifies Vanguard's portfolio into the furniture industry.

Launching the International Dividend Growth Fund appeals to investors seeking sustainable dividend growth.

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