Senior Applied AI Scientist - Generative AI & Multi-Agent

Capital One National Association

New York (NY)

On-site

USD 177,000 - 201,000

Full time

2 days ago
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Job summary

Capital One in New York, NY seeks a Principal Associate, Data Scientist - Applied AI to join the Commercial Bank Applied AI team. You will partner with data scientists, ML engineers, and product managers to deploy Generative AI solutions at enterprise scale, unlocking value from billions of customer records.

You will build Generative AI models and pipelines, perform context engineering, fine‑tuning, evaluation and deployment, and translate complex work into concrete business goals, leveraging

Qualifications

  • Bachelor’s degree plus 5 years of data analytics experience, or Master’s/MBA with 3 years, or PhD in a quantitative field.
  • Experience with data analytics and quantitative methods.
  • Strong foundation in ML and statistical modeling.

Responsibilities

  • Partner with cross-functional teams to deliver Generative AI solutions.
  • Leverage Python, LangChain, AWS, Workflows, and vector databases to build Multi-Agent systems and RAG pipelines.
  • Build Generative AI models and pipelines from context engineering to deployment.
  • Translate complex work into tangible business goals.

Skills

Generative AI concepts
Statistical modeling
Machine learning
Data science
Python programming

Education

Bachelor’s degree in a quantitative field
Master’s degree in a quantitative field or MBA with quantitative concentration
PhD in a quantitative field

Tools

Python
LangChain
AWS
Workflows
Vector Databases

Job description

Capital One in New York, NY seeks a Principal Associate, Data Scientist - Applied AI to join the Commercial Bank Applied AI team. You will partner with data scientists, ML engineers, and product managers to deploy Generative AI solutions at enterprise scale, unlocking value from billions of customer records.

You will build Generative AI models and pipelines, perform context engineering, fine‑tuning, evaluation and deployment, and translate complex work into concrete business goals, leveraging

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