Senior AI Delivery Engineer - GenAI & ML Solutions

TD Bank Group; New York (NY); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Health and well-being benefits

Career development

Paid time off

Job summary

TD Bank Group is seeking an IT Senior Developer in New York to design, build, and support AI-powered solutions for Compliance, Surveillance, and Supervision. You will collaborate with data scientists, architects, and business partners to deliver scalable AI applications and secure APIs.

The role emphasizes practical Python programming, large language models, retrieval-augmented generation, and responsible AI, with cloud services and MLOps practices guiding development and deployment.

Qualifications

• Proficiency in Python and AI/ML fundamentals.
• Experience with generative AI, LLM concepts, prompt engineering, embeddings and RAG.
• Familiarity with RESTful APIs, microservices, Git, SQL, CI/CD practices.

Responsibilities

• Design, develop, test, and maintain AI-enabled applications and services.
• Build generative AI capabilities using LLMs, embeddings, vector search and AI agents.
• Prepare and transform data for model development and production inference.
• Integrate AI solutions with enterprise data platforms and cloud services.

Skills

Python

AI/ML concepts

RESTful APIs

CI/CD

DevSecOps

Agile

Cloud services

Data pipelines

Education

Bachelor's degree in computer science or related field

3-5 years relevant software development/AI delivery experience

Tools

Azure AI Foundry

Azure OpenAI Service

Google Vertex AI

APIs

Job description

TD Bank Group is seeking an IT Senior Developer in New York to design, build, and support AI-powered solutions for Compliance, Surveillance, and Supervision. You will collaborate with data scientists, architects, and business partners to deliver scalable AI applications and secure APIs.

The role emphasizes practical Python programming, large language models, retrieval-augmented generation, and responsible AI, with cloud services and MLOps practices guiding development and deployment.