Full Stack Principal Engineer (US)

TD•Mount Laurel, NJ

5d•$148,720 - $223,080•Onsite

About The Position

The Full Stack Principal Engineer is a senior, hands-on technical leader responsible for defining system architecture, driving engineering excellence, and delivering scalable, resilient, production-grade solutions. This role partners closely with engineering teams, product leaders, and business stakeholders to solve complex problems, translate strategy into executable designs, and actively contribute high-quality code and automation. This role also leads the adoption of AI-first engineering practices, including leveraging machine learning, large language models (LLMs), and agentic architectures to accelerate development, improve system intelligence, and enable autonomous or semi-autonomous workflows across the product lifecycle. Overall, the person selected for this role will provide deep technical leadership, domain specialization and expertise, and sets direction in developing and implementing solutions to address emerging business needs and strategies and also advances the overall design architecture and technology capabilities in accordance with industry developments. This role is also influential to Senior Leaders and provides guidance and governance to other technology groups and business areas. Depth & Scope: Recognized as an internal and external expert in specific domain(s) within the organization; Spends the majority of their time on technical issues Sets the direction and oversees the work of other IT professionals as assigned on complex, highly-visible engineering projects of significant profile, strategic importance, and enterprise impact to the Bank Recognized as an internal expert within the broad engineering field and may have specialized expertise within multiple domains Provides consultative and strategic guidance to executive leadership

Requirements

Bachelor's or Graduate degree
Strong academic background (e.g., computer science, engineering) or 15+ years relevant experience
15+ years of experience in software engineering, architecture, or platform engineering
5+ years strong hands-on experience with Python and modern AI/ML ecosystems
5+ years experience with LLMs, generative AI, and AI agent frameworks
Familiarity with vector databases, embeddings, and retrieval-based architectures
10+ years of experience with cloud platforms (Azure, AWS, or GCP) and DevOps practices
Performing sedentary work – Continuous
Performing multiple tasks – Continuous
Operating standard office equipment - Continuous
Sitting – Continuous
Concentrating for long periods of time – Continuous
Applying common sense to deal with problems involving standardized situations – Continuous
Reading, writing and comprehending instructions – Continuous
Adding, subtracting, multiplying and dividing – Continuous

Responsibilities

Defining system architecture
Driving engineering excellence
Delivering scalable, resilient, production-grade solutions
Partnering closely with engineering teams, product leaders, and business stakeholders to solve complex problems
Translating strategy into executable designs
Actively contributing high-quality code and automation
Leading the adoption of AI-first engineering practices, including leveraging machine learning, large language models (LLMs), and agentic architectures
Providing deep technical leadership, domain specialization and expertise
Setting direction in developing and implementing solutions to address emerging business needs and strategies
Advancing the overall design architecture and technology capabilities in accordance with industry developments
Providing consultative and strategic guidance to executive leadership
Setting the direction and overseeing the work of other IT professionals as assigned on complex, highly-visible engineering projects of significant profile, strategic importance, and enterprise impact to the Bank