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Senior Engineer – Gen AI /Agentic AI (US)

  • Source: Workday
  • TD
  • $123,680 to $200,200 /yr
  • On-site
  • Mount Laurel
  • Full-Time
  • Senior

Job Description

Work Location:

Mount Laurel, New Jersey, United States of America

Hours:

40

Pay Details:

$123,680 - $200,200 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:

The Senior Engineer – Gen AI /Agentic AI (US) 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. Role is also influential to Senior Leaders and provides guidance and governance to other technology groups and business areas.

Depth & Scope:

  • Top technical individual contributor expert role with knowledge of specific domain or broad range of engineering frameworks, technology, tools, processes and procedures, as well as broader organization issues and relevant technology
  • Advanced and highly specialized knowledge of TD applications, systems, networks, innovation, design activities, best practices, business/organization, Bank standards, and may fulfill a governance role
  • Engineering specialist assigned to work autonomously on high profile, complex and/or high risk technology initiatives with significant impact to the organization
  • Provides technical leadership/consulting/direction to a larger team on all aspects of engineering

Education & Experience:

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

Preferred Qualifications:

  • 10+ 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 level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties …

Skills

  • Python
  • graphrag
  • LangChain
  • LangGraph
  • microsoft-azure
  • azure-search
  • workday
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