Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Technology Solutions

Pay Details:

$96,000 - $115,200 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: Engineer II - AI

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.

Key Responsibilities

- 3-5 years total experince
- 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 recent 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.

Required Skills & Qualifications
- 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.

Preferred Qualifications (Nice to Have)
- 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.

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest

📌 Software Engineer Ii (Ai Integration) (Toronto)
🏢 United States Digital Space
📍 Toronto