1 day ago
Toronto, CanadaSenior
Responsibilities
- Design and implement end-to-end generative AI solutions using Azure AI and Google AI services.
- Develop and optimize production-grade LLM applications using RAG, prompt engineering, fine-tuning, and multi-agent architectures.
- Implement AI security frameworks addressing prompt injection, adversarial attacks, data poisoning, content filtering, output monitoring, and safety guardrails.
- Architect scalable MLOps and AIOps pipelines for model versioning, retraining, monitoring, explainability, and high availability.
- Translate business objectives into AI/ML proofs of concept and production solutions while demonstrating ROI.
- Drive technical strategy across hybrid cloud, small language models, agentic AI, and edge deployment.
- Mentor platform engineers and data scientists on ML techniques, LLMOps, and responsible AI.
- Conduct technical due diligence on AI vendors and tools, including Cohere, Anthropic, and open-source LLMs.
Requirements
- Bachelor’s degree in Computer Science, Machine Learning, Mathematics, or a related technical field.
- At least 5 years of hands-on AI/ML engineering experience, including 3+ years focused on generative AI and LLM applications.
- At least 5 years of executive leadership experience in financial services, with the ability to influence C-suite stakeholders and lead strategic technical initiatives.
- Expert Python proficiency and experience with PyTorch, TensorFlow, LangChain, and LlamaIndex.
- Hands-on experience with Azure OpenAI Service, Azure ML Studio, Databricks MLflow, and Google Vertex AI.
- Strong knowledge of MLOps and LLMOps, including Azure DevOps, GitHub Actions, Terraform, Docker, and Kubernetes.
- Experience with real-time ML inference, Kafka, Pub/Sub, edge deployment, multimodal models, computer vision, and advanced NLP.
Benefits
- Base salary is listed in Canadian dollars for the Toronto, Ontario work location, with a temporary pay premium subject to annual reassessment.
- Total Rewards include variable compensation, health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and recognition programs.
- Regular development conversations, training, mentoring programs, online learning, and onboarding support are provided.
- Accessibility accommodations are available throughout the interview process.
- The role is subject to applicable provincial employment regulations and has no Quebec language requirement.
Tech Stack
Categories
About TD bank
TD Bank Group provides retail and commercial banking, credit cards, mortgages, wealth management, insurance, and capital-markets services to consumers, businesses, and institutional clients. Headquartered in Toronto and founded in 1955, it operates across Canada and the eastern United States. The company generates revenue from interest income, fees, and trading activities and is publicly traded on the TSX and NYSE under the symbol TD.