GenAI / Agentic AI Engineer (US)

Work Location:

Mount Laurel, New Jersey, United States of America

Hours:

40

Pay Details:

$98,160 - $159,270 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:

As a mid‑level GenAI / Agentic AI Engineer, you’ll build, harden, and operate AI solutions built using Azure OpenAI and Python . You’ll implement RAG pipelines, prompt chains, evaluation tests, and secure service integrations to build end-to-end Gen AI solutions. You’ll collaborate with product, architects, and risk partners to ship reliable, responsible GenAI and Agentic AI capabilities.

This person develops and maintains technical solutions that adhere to engineering and architectural design principles while meeting business requirements. Provides technical expertise with a focus on efficiency, reliability, scalability, and security; includes planning, evaluating, recommending, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards.

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
• Expert knowledge and experience in own discipline; integrates knowledge of business and functional priorities
• Acts as a key contributor in a complex and critical environment
• May provide leadership to teams or projects; shares expertise Applies in-depth skills and broad knowledge of the business to address complex problems and non-standard situations

Education & Experience:

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

Preferred Qualifications:

• 2+ years of experience developing and deploying AI-enabled applications, such as LLMs, RAG, GraphRAG and agentic workflows
• 7+ years of direct experience with Python and other applicable programming languages.
• Hands‑on with Azure OpenAI (completions/chat), embeddings, vector search (Azure AI Search or similar), and RAG basics; comfort with Git, CI/CD, and monitoring.
• Experience with LangChain, LangGraph, AKS; familiarity with enterprise auth (OAuth2/PingFed), APIM, and secret management (Key Vault).
• Understanding of responsible AI guardrails
• Experience in building backend services and APIs that orchestrate LLM prompts, retrieval, and post‑processing with Azure OpenAI and Azure AI Search

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 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. …