Software Engineer III; AI Integration Job London area,Ontario Canada,Software Development

Position: Software Engineer III (AI Integration)

Description

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

Develop end-to-end pipelines including data preprocessing, feature engineering, validation, and deployment.

Fine-tune LLM-based applications using frameworks like Lang Chain, Lang Smith, 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 Dev Ops teams for scalable deployment.

Communicate complex technical concepts to non-technical stakeholders.

Required Skills & Qualifications

7 years relevant experience

Strong programming skills in Python (Num Py, Pandas, Scikit-learn, PyTorch or Tensor Flow).

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 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.

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.

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