AI Engineer

2 days ago Be among the first 25 applicants. Get AI-powered advice on this job and more exclusive features.

Requisition  Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. We are seeking a passionate and execution-focused AI Engineer to join our high-impact engineering team in Global Wealth Management Technology (GWMT). This role is ideal for an individual contributor who thrives in a fast-paced, agile environment and is ready to design, build, and deploy production-grade AI solutions with minimal supervision.

You will be surrounded by innovators solving some of the most pressing challenges in wealth management through intelligence-driven systems. Scotiabank’s Global Wealth Management (GWM) division plays a critical role in delivering personalized financial advice, investment management, and estate planning solutions to clients across Canada and around the world. As part of this trusted and forward-looking organization, you’ll join a high-performing technology team focused on building intelligent, secure, scalable platforms that enhance client and advisor experiences.

Working within GWM means applying your AI expertise to real-world financial challenges—helping shape the next generation of wealth services through data-driven innovation and responsible engineering. If you’re motivated by meaningful impact, collaboration, and continuous learning, this is where your work will matter.

In this role you will:

• Design, implement, and manage Generative AI use cases for production use.
• Engineer robust data pipelines and perform feature extraction using structured and semi-structured data.
• Build, test, and iterate on agentic systems, leveraging LLMs for autonomous task execution.
• Contribute to retrieval-augmented generation (RAG) systems and agent memory structures.
• Automate LLM pipelines including preprocessing, training, evaluation, and retraining workflows.
• Implement CI/CD for AI solutions and deploy models on cloud infrastructure (Azure, GCP).
• Apply foundational LLMOps practices—version control, model reproducibility, performance monitoring.
• Ensure operational reliability through containerization (Docker, Kubernetes) and basic IaC templates.
• Uphold model governance, data compliance, and security in collaboration with Dev Ops and Info Sec.

• 3–5 years of professional experience in enterprise software development, AI/ML engineering, MLOps, LLMOps, or applied data science.
• Proficient in Python, Type Script, Spring (preferably Spring AI), React, and major ML libraries (e.g., Tensor Flow, PyTorch, Scikit-learn).
• Strong grasp of GenAI fundamentals, including multi-agent systems.
• Experience building ML pipelines using tools like MLflow, Kubeflow, or Airflow.
• Working knowledge of containerization (Docker, Kubernetes) and CI/CD workflows.
• Cloud experience with GCP Vertex AI and/or Azure ML.
• Understanding of data wrangling, feature stores, and basic drift detection.
• Familiarity with agent frameworks or multi-agent LLM setups is a plus.

• Exposure to RAG workflows and experience using managed vector databases such as Azure AI Search or Vertex AI Matching Engine.
• Familiarity with orchestration frameworks such as Lang Chain, Llama Index, Auto Gen, or Semantic Kernel—ideally through experimentation or guided implementations.
• Basic understanding of infrastructure-as-code using tools like Terraform or Azure Resource Manager (ARM).
• Familiarity with observability tools such as Prometheus, Grafana, Dynatrace, Azure Monitor, or GCP Logging.
• Prior exposure to financial services data, models, or regulatory environments is a bonus.
• Familiarity with orchestration and data pipeline tools such as Airflow, dbt, or Google Dataflow is a plus.
• Exposure to explainability concepts (e.g., SHAP, LIME) or metadata tools is a bonus.

• Diversity, Equity, Inclusion & Allyship – We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias‑free practices and inclusive…