Applied Machine Learning Scientist II

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Hours:

Line of Business:

Pay Details:

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:

About the Role

We are looking for a seasoned AI Engineer II to take ownership of high-impact AI and agentic AI initiatives across enterprise authentication and fraud-prevention domains. You will architect and lead the implementation of large-scale intelligent systems—spanning multi-agent workflows, LLM orchestration, retrieval-augmented generation, and end-to-end automation pipelines—while ensuring compliance with AI governance, risk controls, and enterprise standards.

Key Responsibilities

• Lead the architecture, development, and deployment of production-grade AI and agentic AI systems.
• Design scalable multi-agent pipelines integrating LLMs, RAG components, graph/vector databases, and microservice infrastructure.
• Partner with data science, product, and fraud strategy teams to translate business objectives into AI-driven solutions.
• Own observability frameworks for model drift, bias detection, latency, and throughput monitoring.
• Build automation and orchestration frameworks that reduce manual workloads and enable adaptive AI responses.
• Mentor junior engineers and data scientists on best practices in ML architecture, code quality, and scalable deployment.
• Ensure adherence to responsible AI guidelines, security standards, and data privacy requirements.
• Lead POCs for emerging AI tech (vendor LLMs, agentic platforms, fine-tuning pipelines) and evaluate enterprise adoption potential.

Qualifications

• Master's or PhD in Computer Science, Engineering, Applied Mathematics, or related field.
• 5–8 years of AI or ML engineering experience with a proven track record of building and scaling AI systems in production.
• Deep expertise in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).
• Demonstrated experience deploying LLMs, RAG pipelines, and multi-agent orchestration at scale.
• Strong understanding of cloud infrastructure (Azure, Databricks, Kubernetes, Docker, MLflow).
• Proficiency in data engineering (Spark, SQL), APIs, and microservice architecture.
• Excellent system-design skills and ability to evaluate trade-offs between performance, cost, and compliance.
• Strong communication and mentoring skills, comfortable presenting technical concepts to executives and cross-functional teams.

Preferred

• Experience in financial services, fraud prevention, identity proofing, or risk analytics.
• Knowledge of AI governance standards and model validation best practices in regulated environments.
• Hands-on experience integrating third-party AI platforms (OpenAI Enterprise, Anthropic Claude, Azure OpenAI, etc.).

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 deliver legendary customer experiences to 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 the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing – and so will you.

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. Learn more

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.

Colleague Development
If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we're committed to helping you identify opportunities that support your goals.
 

Training & Onboarding
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.

Interview Process 
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you

Language Requirement (Quebec only):