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About the 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.

Responsibilities

• 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 pipline.
• 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.

Requirements

• 3-5 years total 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.

Skills

• Python
• SQL
• Spark
• Pandas
• NumPy
• Scikit-learn
• PyTorch
• TensorFlow
• LangChain
• LangSmith
• OpenAI APIs
• CI/CD
• MLOps
• MLflow
• Kubeflow
• Airflow
• Docker
• Kubernetes
• AWS
• GCP
• Azure
• LLMs
• NLP
• Deep Learning
• Vector Databases
• RAG systems
• Generative AI

Location

• Toronto, Ontario, Canada

Work Type

• Full-time

Experience Level

• 3-5 years

Education Level

• Bachelor's degree
• Master's degree

Salary/Compensations

• $96,000 - $115,200 CAD

Benefits

• Health and well-being benefits
• Savings and retirement programs
• Paid time off
• Banking benefits and discounts
• Career development
• Reward and recognition programs
• Training programs

About the Company

• 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.

Equal Opportunity

• 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.
• 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.