Principal Engineer - Agentic AI (US)

Work Location:

Mount Laurel, New Jersey, United States of America

Hours:

40

Pay Details:

$148,720 - $240,240 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:

Technology Solutions

Job Description:

We are looking for a skilled Principal Agentic AI Engineer to architect, build, and deploy advanced AI agents capable of autonomous reasoning, decision-making, and self-directed execution. In this role, you will architect, develop, and optimize agentic AI systems, including autonomous agents, multi-agent frameworks, and LLM-powered agents and integrate these solutions into existing TD Bank applications.

This person provides 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

Education & Experience:

• Bachelor's or Graduate degree
• Strong academic background (e.g., computer science, engineering)  or 15+ years relevant experience

Preferred Qualifications:

• 15+ Years experience building and delivering enterprise grade solutions at financial institutions using various different programming languages
• 2+ years of experience in Python for developing and deploying AI-enabled applications, such as LLMs, RAG, GraphRAG and agentic workflows 
• Hands-on experience with agentic AI frameworks and concepts such as LangChain, LangGraph, AutoGen, Model Context Protocol (MCP), large language models (LLMs), chain-of-thought prompting, knowledge stores, and embeddings
• Expert level knowledge of prompt engineering techniques and model fine-tuning
• Strong understanding of cybersecurity principles as they apply to AI systems, including threat modeling and vulnerability assessment.
• Hands on with Azure OpenAI (GPT 4/4 Turbo, Assistants/On Your Data), Azure AI Search/vector indexing, embeddings, and prompt engineering; proven RAG implementations.

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.) – Never
• Lifting/Carrying (over 25 lbs.) – Never
• Squatting – Never
• Bending – Never
• Kneeling – Never
• Crawling – Never
• Climbing – Never
• Reaching overhead – Never
• Reaching forward – Never
• Pushing – Never
• Pulling – Never
• Twisting – Never
• 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

The above statements are intended to describe the general nature and l