Senior AI Developer - Generative AI & ML Solutions (NY)

TD Bank Group

New York (NY)

On-site

USD 120,000 - 150,000

Full time

7 days ago
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Job summary

TD Bank Group is seeking a Technology Delivery - AI Development role in New York to design, build, test, and support AI-enabled applications across compliance and supervision. The candidate will collaborate with data scientists, architects, and business partners to deliver secure, scalable AI solutions using Python and modern ML frameworks.

The ideal candidate combines software engineering fundamentals with practical AI knowledge, including prompt engineering, embeddings, and cloud AI services.

Qualifications

  • Proficiency in Python and AI libraries.
  • Experience with generative AI, LLM concepts, prompt engineering, embeddings, vector databases.
  • Familiarity with AI development frameworks and cloud AI services.
  • Exposure to Azure/AWS/GCP enterprise AI platforms.
  • Knowledge of REST APIs, microservices, CI/CD, and DevSecOps practices.

Responsibilities

  • Design, develop, test, and maintain AI-enabled applications and APIs.
  • Build generative AI capabilities using LLMs, prompt engineering, embeddings, vector search, and agent workflows.
  • Prepare and validate data for model development and production inference.
  • Integrate AI solutions with enterprise data platforms and cloud services via secure APIs.
  • Develop evaluation approaches for model accuracy, bias, explainability, and latency.

Skills

Python
AI Libraries
Prompt Engineering
REST APIs
Cloud AI Services

Education

Bachelor's degree in CS/Software Eng

Tools

Azure AI Foundry
Azure OpenAI Service
Google Vertex AI
Git

Job description

TD Bank Group is seeking a Technology Delivery - AI Development role in New York to design, build, test, and support AI-enabled applications across compliance and supervision. The candidate will collaborate with data scientists, architects, and business partners to deliver secure, scalable AI solutions using Python and modern ML frameworks.

The ideal candidate combines software engineering fundamentals with practical AI knowledge, including prompt engineering, embeddings, and cloud AI services.

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