IT Support Analyst III (AI/ML)

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Technology Solutions

Pay Details:

$59,500 - $84,000 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:

Role Overview

The Junior AI Engineer supports the development, deployment, and ongoing support of AI/ML applications and AI-powered agents. This role contributes to building intelligent systems using modern frameworks, assists in operationalizing AI capabilities, and ensures reliability and performance of AI solutions in production.

The individual will work under guidance from senior engineers while gaining hands-on experience in agent-based architectures, retrieval-augmented generation (RAG), and enterprise AI platforms.

Key Responsibilities

AI/ML Application Development & Support

• Assist in building, deploying, and maintaining AI/ML applications and services

• Provide L2/L3-style support for AI systems, including incident triage, debugging, and performance tuning

• Monitor model and application performance (accuracy, latency, cost) and support optimization efforts

• Maintain documentation and runbooks for AI solutions to support operational readiness

AI Agent Development

• Develop and enhance AI agents using frameworks such as LangChain and LangGraph

• Contribute to the design of agent workflows, tool integrations, and orchestration logic

• Support prompt engineering, context management, and structured output design

• Assist in integrating agents with APIs, enterprise systems, and data sources

RAG (Retrieval-Augmented Generation) Solutions

• Support the development of RAG pipelines, including data ingestion, embedding, indexing, and retrieval

• Work with vector databases and search mechanisms to improve response relevance

• Assist in evaluating and improving grounding, hallucination control, and response quality

Collaboration & Continuous Improvement

• Collaborate with data scientists, engineers, and product teams to deliver AI use cases

• Participate in Agile ceremonies and contribute to iterative delivery

• Stay current with emerging AI tools, frameworks, and best practices

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field

• Working knowledge of Python for AI/ML development

• Foundational understanding of machine learning concepts and NLP

• Familiarity with AI frameworks such as LangChain, LangGraph, or similar

• Basic understanding of RAG architectures and LLM-based applications

• Knowledge of REST APIs and software engineering fundamentals

• Experience with data manipulation (e.g., SQL, Pandas)

Preferred Qualifications

• Exposure to LLM application development and agent-based systems

• Exposure to predictive AI models a big plus

• Experience with vector databases  

• Familiarity with cloud platforms (Azure, AWS, GCP)

• Understanding of MLOps / LLMOps practices (deployment, monitoring, evaluation)

• Exposure to prompt engineering, embeddings, context engineering and model evaluation techniques

• Awareness of Responsible AI, governance, and data privacy considerations

Key Competencies

• Strong analytical and problem-solving skills

• Ability to quickly learn emerging AI tools and frameworks

• Attention to detail in debugging and supporting production systems

• Effective communication with technical and non-technical stakeholders

• Curiosity and passion for AI, automation, and intelligent systems

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