Technical jobs in Canada

Toronto, Ontario, Canada

37.5

Technology Solutions

$91,200 - $136,800 CAD

This role is temporarily eligible for a pay premium above the posted salary range that is reassessed annually. You are encouraged to have an open dialogue with your recruiter who can provide more specific pay details for this role.
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.

The AI Engineer is responsible for designing, building, and deploying AI/ML solutions that enhance business processes, improve decision‑making, and enable automation. This role combines software engineering, data science, and machine learning expertise to develop scalable AI systems in production environments.

• Develop end‑to‑end pipelines including data preprocessing, feature engineering, validation, and deployment.
• Fine‑tune LLM‑based applications using frameworks like LangChain, LangSmith, or OpenAI APIs.
• Deploy models into production using CI/CD pipeline.
• Build scalable microservices or APIs to serve ML models in real time.
• Implement monitoring for model drift, performance, and reliability.
• Collaborate with data engineering teams to define data requirements.
• Work with structured and unstructured datasets using Python, SQL, Spark, Pandas, etc.
• Ensure data quality, governance, and security.
• Evaluate new AI frameworks, tools, and techniques.
• Prototype solutions and run experiments to explore feasibility.
• Stay up to date with advancements in LLMs, vector embeddings, multimodal AI, and model compression/optimization.
• Work with product managers and business teams to translate business problems into AI solutions.
• Partner with cloud engineers and DevOps teams for scalable deployment.
• Communicate complex technical concepts to non‑technical stakeholders.

• Leverage deep technology expertise for own area of specialization to deliver and ensure that all areas across the organization that provision, manage and support various technologies have the necessary tools, processes and documentation required to effectively execute on their respective mandates.
• Execute on Engineering strategy as it relates to the introduction of tools and the automation of build, test, release and configure activities across Application, Platform and Infrastructure.
• Partner with the Operations team to automatically integrate with appropriate tools and processes as part of automated/self‑serve Application, Platform or Infrastructure releases.
• Work with partners across Technology and apply in‑depth understanding of relevant business needs to identify and leverage synergies across the various areas.
• Act as the expert or lead innovator and agent of change for the programs and services under management.
• Work with other teams to implement best practices for engineering and management.
• Work with vendor platform providers and engineering peers to keep abreast of trends, products, frameworks, and applications.
• Identify and effectively manage stakeholder engagement and impacts across the enterprise.
• Interpret client needs, assess engineering related requirements and identify solutions to non‑standard requests.

• Apply best practices and knowledge of internal / external business issues to improve products or services in own discipline.
• Monitor and control costs within own work.
• May interact with governance and control groups, (e.g. regulatory / operational risk, compliance and audit) to provide subject matter expertise and consult on risk issues / items related to Engineering technology and tools.
• May develop and/or contribute to negotiations of third‑party contracts/agreements.
• Maintain knowledge and understanding of external development, engineering and emerging solutions, market conditions and their impact.
• Proactively identify emerging technologies and innovative solutions for building more robust platform domains.

• Continuously enhance knowledge/expertise in own area and keep current with emerging industry trends, new technologies and best practices in the external market that can contribute to delivering effective client solutions.
• Prioritize and manage own workload in order to deliver quality results and meet timelines.
• Support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest.
• Participate in knowledge transfer with senior management, the team, other technical areas and business units.
• Work effectively as a team, supporting other members of the team in achieving business objectives and providing client services.
• Identify and recommend opportunities to enhance productivity, effectiveness and operational efficiency of the business unit and/or team.

• Expert knowledge of specific domain or range of engineering frameworks, technology, tools, processes and procedures, as well as organization issues.
• Expert knowledge of TD applications, systems, networks, innovation, design activities, best practices, business / organization, Bank standards, and may fulfill a governance role.
• Expert knowledge and experience in own discipline; integrates knowledge of business and functional priorities.
• Acts as a key contributor in a complex and critical environment.
• May provide leadership to teams or projects; shares expertise.
• Applies in‑depth skills and broad knowledge of the business to address complex problems and non‑standard situations.
• Generally reports to a Senior Manager or above.

• University or post‑graduate degree.
• Strong academic background (e.g., computer science, engineering).
• 7 + years relevant experience.
• Strong programming skills in Python (NumPy, Pandas, Scikit‑learn, PyTorch or TensorFlow).
• Experience with LLMs, NLP, or deep learning.
• Knowledge of MLOps tools: MLflow, Kubeflow, Airflow, Docker, Kubernetes.
• Experience with cloud platforms (AWS/GCP/Azure) and model deployment.
• Understanding of data structures, algorithms, and software engineering best practices.
• Problem‑solving and analytical thinking.
• Ability to design scalable, maintainable systems.
• Strong communication and documentation skills.
• Collaboration in agile or cross‑functional team environments.

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
• Experience building large‑scale AI systems or enterprise‑grade ML applications.
• Experience working in regulated industries.
• Knowledge of vector databases , RAG systems, or generative AI applications.

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 deliver legendary customer experiences to 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 the Bank, the ones we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you.

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

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.

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. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals.

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

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.

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.

Sans Objet