Senior Applied AI Engineer

2 hours ago

Toronto, CanadaSenior

Base Salary

$103k - $192k/yr

Responsibilities

Formulate and execute the Wealth Management AI strategy.
Architect, build, prototype, deploy, and monitor GenAI-powered and agent-based applications.
Collaborate with technology teams and partners to deliver production GenAI solutions.
Translate business and stakeholder requirements into scalable technical solutions.
Integrate AI solutions with CRM, portfolio management, data warehouse, and other existing platforms.
Ensure AI solutions meet performance, security, privacy, compliance, regulatory, and responsible-AI standards.
Apply MLOps, model governance, data engineering, model deployment, and monitoring best practices.
Document technical designs, create demonstrations, and support enablement and adoption.
Mentor and lead technical teams while collaborating across product, data science, engineering, risk, and business functions.

Bachelor’s or master’s degree in Computer Science, Engineering, Data Science, or a related field.
10+ years of experience in AI/ML engineering, including at least 2 years in financial services or regulated industries, or a combination of relevant experience and education.
Advanced proficiency in Python, TensorFlow, PyTorch, and scikit-learn.
Experience building Copilot Studio Agents and GenAI, LLM, and agent-orchestration solutions.
Experience with OpenAI, Google Gemini, Anthropic, LangChain, LangGraph, and AutoGen.
Strong hands-on experience with AWS and Azure AI/ML, data, and deployment toolsets, plus familiarity with GCP.
Experience with MLOps tools, Kubernetes, Docker, CI/CD pipelines, API integration, microservices, and scalable system architecture.
Proven record of designing and deploying production-grade AI solutions.
Knowledge of financial-services workflows, data privacy, compliance, model governance, and responsible AI.
Experience working in Agile teams and collaborating with cross-functional stakeholders.
Demonstrated ability to mentor and lead technical teams.
Advanced ability in generative AI, mathematics, critical and creative reasoning, computational thinking, programming, deep learning, machine learning, model scaling, continuous integration and delivery/deployment, and ML algorithms.
Strong communication, analytical, problem-solving, influence, collaboration, stakeholder-management, and ambiguity-management skills.

Health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans.
Training, coaching, manager support, and network-building opportunities.
Work location listed at 100 King Street West; no remote or hybrid arrangement is stated.

10,000+ employees