# Technical Product Owner (Layer 6) - AI & Machine Learning Solutions at TD Bank

TD Bank is hiring a Technical Product Owner (Layer 6) - AI & Machine Learning Solutions in New York, United States. Level rates it Little AI ●○○○; you can [apply on TD Bank](https://jobsbylevel.com/go/69404b59-d127-4526-a6b6-a81ea73b2756?utm_medium=ai-agent).

AI Level 1, AI centrality 9 out of 100. New York, New York.

## Details

- Company: [TD Bank](https://jobsbylevel.com/companies/td-bank)
- AI level: AI Level 1 (score 9 out of 100)
- Location: New York, New York
- Posted: October 28, 2026
- Apply: https://jobsbylevel.com/go/69404b59-d127-4526-a6b6-a81ea73b2756?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=technical-product-owner-layer-6-ai-machine-learning-solutions-at-td-bank-f90566

## Prepare for this job

The job page lists 4 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/technical-product-owner-layer-6-ai-machine-learning-solutions-at-td-bank-f90566

## Description

Work Location: New York, New York, United States of America Hours: 40 Pay Details: $96,130 - $181,944 USD 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. Line of Business: Analytics, Insights, & Artificial Intelligence Job Description: Department Overview: Layer 6 is the AI research center of excellence for TD Bank Group. We develop and deploy industry-leading machine learning systems that impact the lives of over 27 million customers, helping more people achieve their financial goals and needs. Our research broadly spans the field of machine learning with areas such as deep learning and generative AI, time series forecasting and responsible use of AI. We have access to massive financial datasets and actively collaborate with world renowned academic faculty. We are looking for people driven to be at the cutting edge of machine learning in research, engineering, and impactful applications. Position Overview: This is a highly technical role focused on the delivery of AI, Machine Learning, and Generative AI solutions. Successful candidates will have hands-on experience working with machine learning engineers, data scientists, software engineers, and cloud/platform teams to deliver production AI systems. This role requires the ability to evaluate technical designs, challenge architectural decisions, and drive technical delivery outcomes. Day-to-day as a Technical Product Owner (Machine Learning Engineer II): Lead cross-functional teams of machine learning scientists, machine learning engineers, data scientists and software engineers to deliver production-grade AI solutions. Work closely with stakeholders to identify, refine and occasionally reject opportunities to build machine learning products; collaborate with support functions such as risk, technology, model risk management and incorporate interfacing features. 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 effectively 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, perform, 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

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/technical-product-owner-layer-6-ai-machine-learning-solutions-at-td-bank-f90566

Source: https://jobsbylevel.com/jobs/technical-product-owner-layer-6-ai-machine-learning-solutions-at-td-bank-f90566

## Cite this page

Level. https://jobsbylevel.com/jobs/technical-product-owner-layer-6-ai-machine-learning-solutions-at-td-bank-f90566.

Get job alerts: https://jobsbylevel.com/newsletter