Technical Product Owner - AI & Machine Learning Solutions

Job Description

This technical role focuses on the delivery of AI, machine learning, and generative AI solutions within TD's AI research center, Layer 6. The Technical Product Owner leads cross‑functional teams to build and deploy production‑grade AI systems that impact customers and support business goals.

Responsibilities

• Lead cross‑functional teams of machine learning scientists, engineers, data scientists, and software engineers to deliver production‑grade AI solutions.
• Work closely with stakeholders to identify, refine, and sometimes reject opportunities to build machine learning products, collaborating with risk, technology, and model risk management functions.
• Translate business objectives into technically feasible AI/ML solutions and articulate trade‑offs related to architecture, implementation complexity, scalability, risk, and model performance.
• Develop the vision, strategy, and roadmap for AI technical products and capabilities that meet business objectives and maintain TD at the forefront of AI research and development.
• Maintain an in‑depth understanding of the solution, architecture, and technical implementation details to challenge design decisions, assess delivery trade‑offs, and prioritize development work in alignment with business and technical requirements.
• Facilitate the professional and technical development of colleagues through mentorship and feedback.
• Anticipate resource needs as solutions move through the model lifecycle, scaling pods up and down as models are built, performed, degrade and require enhancement.
• Establish and uphold AI/ML engineering standards, best practices, and quality controls, while providing informed challenge on model design, MLOps, data architecture, and production‑readiness decisions.
• Lead the definition of cloud‑native AI/ML solution architectures and operational strategies, partnering with engineering and architecture teams to ensure scalable deployment, monitoring, and lifecycle management of production AI systems.
• Ensure AI solutions meet enterprise standards for security, governance, model risk management, responsible AI, compliance, operational resilience, and auditability.
• Define, measure, and communicate the business value delivered by products, connecting model performance to measurable business outcomes and enterprise AI value targets.

Qualifications

• 5+ years of experience delivering complex AI, machine learning, data science, advanced analytics, or software products in large‑scale enterprise environments.
• 3+ years of experience leading cross‑functional technical delivery teams consisting of machine learning engineers, data scientists, software engineers, and MLOps practitioners.
• Deep understanding of machine learning, generative AI, large language models, retrieval systems, model evaluation techniques, data engineering, MLOps, and software development practices.
• Ability to evaluate technical designs and challenge architecture decisions while partnering effectively with engineering and research teams.
• Strong technical proficiency in Python, SQL, and modern software engineering practices including version control, CI/CD, automated testing, observability, and deployment automation.
• Familiarity with model risk management and AI governance in regulated industries.
• Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, Mathematics, or a related technical field; or equivalent practical experience delivering complex AI/ML solutions.

Compensation

Base salary: $140,000 – $240,000 CAD. This market premium is reassessed annually. The actual base pay may vary based on skills, experience, job‑related knowledge, geographic location, and other business needs. TD provides a variable compensation component as part of the total rewards package.

Benefits

TD offers a comprehensive benefits program including health and well‑being benefits, savings and retirement plans, paid time off, banking benefits and discounts, career development and recognition programs. Additional details are available upon request.

Language Requirement (Quebec Only)

Candidate must be fully proficient in both English and French.

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