AI Engineer I

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Hours:

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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 candidates 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 seeking an AI Engineer I to design develop and deploy applied AI and agentic AI solutions that power decision intelligence automation and performance optimization across the enterprise. You will collaborate with data scientists AI engineers and product teams to translate ideas into scalable production systems that deliver measurable business value.

Key Responsibilities

• Design and implement machine learning and agentic AI systems leveraging LLMs RAG pipelines and multi-agent frameworks (e.g. LangChain Hugging Face).
• Build and maintain data ingestion and feature pipelines using PySpark Databricks and SQL for model training and inference.
• Deploy monitor and optimize AI microservices on Azure or Databricks clusters ensuring robustness security and scalability.
• Develop reusable components for prompt engineering vector databases and conversational agents.
• Collaborate with MLOps teams to integrate CI/CD pipelines for model deployment and lifecycle management.
• Contribute to internal frameworks that support governance traceability and responsible AI practices.
• Document technical artifacts performance metrics and experiment outcomes; present findings to technical and business stakeholders.
• Stay current with emerging AI/agentic AI research and identify practical opportunities for adoption.

Qualifications

• Masters or PhD in Computer Science Engineering Applied Mathematics or related field.
• 35 years of hands-on experience in AI or ML engineering ideally with exposure to generative AI and LLMs.
• Proficiency in Python and ML frameworks such as PyTorch or TensorFlow.
• Familiarity with vector databases (Pinecone Milvus) RAG architecture and LangChain or similar agent frameworks.
• Experience building data pipelines using PySpark and SQL; comfortable working in Databricks or Azure environments.
• Strong understanding of software engineering fundamentals (Git Docker API development unit testing).
• Excellent analytical and communication skills with the ability to translate technical results into business impact.

Preferred

• Experience operationalizing AI models in production environments.
• Exposure to fraud authentication or risk analytics domains.
• Knowledge of AI governance and responsible AI frameworks.

Who We Are:

TD is one of the worlds 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 95000 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 youve 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 were 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:
Were delighted that youre considering building a career with TD. Through regular development conversations training programs and a competitive benefits plan were 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 youre interested in a specific career path or are looking to build certain skills we want to help you succeed. Youll 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 were committed to helping you identify opportunities that support your goals.

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

Interview Process
Well 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 youd 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):