Senior Gen AI Engineer – Agentic AI Leader

Aimlroles; Mount Laurel Township (NJ); On-site; USD 124,000 - 200,000; Full time

Job summary

TD Bank, a leading global financial institution, seeks a Senior Engineer – Gen AI/Agentic AI in the US to provide deep technical leadership and domain specialization. You will set direction for developing and implementing AI solutions addressing strategic needs and elevate design architecture in alignment with industry practices.

You will guide autonomous engineering teams on high-profile, high-risk AI initiatives, influencing governance and technology choices across multiple groups and business

Qualifications

• 10+ years experience building and delivering enterprise-grade AI solutions in finance
• 2+ years Python for AI-enabled applications (LLMs, RAG, agentic workflows)
• Hands-on with LangChain, LangGraph, AutoGen, MCP and LLMs
• Expert level prompt engineering and model fine-tuning
• Strong cybersecurity principles for AI systems, incl. threat modeling
• Experience with Azure OpenAI and vector indexing with RAG implementations

Responsibilities

• Provide technical leadership for Gen AI/Agentic AI initiatives
• Define architecture direction for AI platforms used across TD activities
• Governance and guidance to technology groups and business areas
• Collaborate with senior leaders to address high-risk, high-impact tech initiatives

Skills

10+ years enterprise-grade experience

Python

prompt engineering

LLMs

knowledge of cybersecurity in AI

distributed AI architectures

Education

Bachelor's or Graduate degree

Tools

LangChain

LangGraph

AutoGen

Model Context Protocol

Azure OpenAI

Azure AI Search

embeddings

Job description

TD Bank, a leading global financial institution, seeks a Senior Engineer – Gen AI/Agentic AI in the US to provide deep technical leadership and domain specialization. You will set direction for developing and implementing AI solutions addressing strategic needs and elevate design architecture in alignment with industry practices.

You will guide autonomous engineering teams on high-profile, high-risk AI initiatives, influencing governance and technology choices across multiple groups and business