TD Bank, N.A.
From company careers site
Technical Product Owner (Layer 6) - AI & Machine Learning Solutions
- Location
- New York, New York
- Work mode
- On-site
- Employment type
- Full-time
About the job
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 auditability.
- Define, measure, and communicate the business value delivered by your products, connecting model performance to measurable business outcomes and enterprise AI value targets.
Preferred 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.
Depth & Scope:
- Expert knowledge of specific domain or range of engineering frameworks, technology, tools, processes, and procedures, as well as organization issues
- Expert knowledge of TD applications, systems, networks, innovation, design activities, best practices, business / organization, Bank standards, and may fulfill a governance role
- Integrates knowledge of business and functional priorities and acts as a key contributor in a complex and critical environment
- Adept at technical project execution, strategic planning, and effective communication. Accountable for specialized knowledge in a field of AI/ML Engineering and may provide leadership to teams or projects, shares expertise
- Applies in-depth skills and broad knowledge of the business to address complex problems and nonstandard situations
Education & Experience:
- Undergraduate degree required, advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience or
- 1 +years relevant experience (includes post graduate experience)
Customer Accountabilities:
- Leverages deep technology expertise for own area of specialization to deliver and ensure that all areas across the organization that provision, manage, and support various technologies have the necessary tools, processes and documentation required to effectively execute on their respective mandates
- Executes on Engineering strategy as it relates to the introduction of tools and the automation of build, test, release and configure activities across Application, Platform and Infrastructure. Partners with the Operations team to automatically integrate with appropriate tools and processes as part of automated/self-serve Application, Platform, or Infrastructure releases
- Works with partners across Technology and apply in depth understanding of relevant business needs to identify and leverage synergies across the various areas
- Acts as the expert or lead innovator and agent of change for the programs and services under management.
- Works with other teams to implement best practices for engineering and management and serve as an ambassador for ML Engineering
- Works with vendor platform providers and engineering peers to keep abreast of trends, products, frameworks, and applications
- Identifies and effectively manages stakeholder engagement and impacts across the enterprise
- Interprets client needs, assess engineering related requirements, and identify solutions to non-standard requests
Shareholder Accountabilities:
- Adheres to enterprise frameworks or methodologies that relate to activities for our business area
- Ensures respective programs / policies / practices are well managed, meets business needs, complies with internal and external requirements, and aligns with business priorities
- Consistently exercises discretion in managing correspondence, information and all matters of confidentiality; escalates issues where appropriate.
- Ensures business operations are in compliance with applicable internal and external requirements (e.g., financial controls, segregation of duties, transaction approvals and physical control of assets)
- Participates in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations
- Conducts internal and external research projects; supports the development / delivery of presentations / communications to management or broader audience
- Conducts meaningful analysis at the functional or enterprise level using results to draw conclusions, makes recommendations, assess the effectiveness of programs / policies / practices
- Monitors service, productivity and assesses efficiency levels within own function and implement continuous process / performance improvements where opportunities exist
- Leads / facilitates and/or implements actions / remediation plans to address performance / risk / governance issues
- Actively manages relationships within and across various business lines, corporate and/or control functions and ensures alignment with enterprise and/or regulatory requirements
- Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts
- Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite
Employee/Team Accountabilities:
- Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues / points of interest
- Provides thought leadership and/ or industry knowledge for own area of expertise in own area and participate in knowledge transfer within the team and business unit
- Keeps current on emerging trends/ developments and grow knowledge of the business, related tools and techniques.
- Participates in personal performance management and development activities, including cross training within own team
- Keeps others informed and up to date about the status / progress of projects and/or all relevant or useful information related to day-to-day activities
- Contributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices
- Leads, motivates and develops relationships with internal and external business partners / stakeholders to develop productive working relationships
- Contributes to a fair, positive and equitable environment that supports a diverse workforce.
- Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally
Physical Requirements: Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100%
- Domestic Travel – Occasional
- International Travel – Never
- Performing sedentary work – Continuous
- Performing multiple tasks – Continuous
- Operating standard office equipment - Continuous
- Responding quickly to sounds – Occasional
- Sitting – Continuous
- Standing – Occasional
- Walking – Occasional
- Moving safely in confined spaces – Occasional
- Lifting/Carrying (under 25 lbs.) – Occasional
- Lifting/Carrying (over 25 lbs.) – Never
- Squatting – Occasional
- Bending – Occasional
- Kneeling – Never
- Crawling – Never
- Climbing – Never
- Reaching overhead – Never
- Reaching forward – Occasional
- Pushing – Never
- Pulling – Never
- Twisting – Never
- Concentrating for long periods of time – Continuous
- Applying common sense to deal with p
From TD Bank, N.A.'s careers page (Workday), checked 29 Oct 2026.
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Posted 28 Oct 2026 · checked 29 Oct 2026 · Report this job
