GenAI Data Science Manager - Conversational AI & LLMs

Capital One; New York (NY); On-site; USD 211,000 - 241,000; Full time

Job summary

Capital One is seeking a Manager, Data Science – GenAI Digital Assistant in New York to lead research and development of conversation AI solutions at scale. You will partner with data scientists, engineers and product managers to deliver AI powered capabilities across our digital assistant platform.

You will fine-tune LLMs, optimize inference, and drive production readiness using Python, AWS, PyTorch and vector databases, translating research into real customer value and reliable experiences for

Qualifications

• Bachelor's Degree in a quantitative field plus 6 years data analytics experience.

Responsibilities

• Partner with cross-functional teams to deliver AI-powered products.
• Lead GenAI research to enhance conversational AI and scalable digital assistants.
• Fine-tune LLMs for domain-specific applications, inference optimization, and multi-agent workflows.
• Utilize a broad stack: Python, AWS, PySpark, LangChain, LangGraph, HuggingFace Transformers, vLLM, VectorDBs.
• Translate AI/ML research into tangible business outcomes and real-time digital assistance.

Skills

AI/ML research

Leadership

Cross-functional

NLP expertise

Communication

Education

Bachelor’s Degree in quantitative field

Master’s Degree in quantitative field or MBA with quantitative concentration

PhD in quantitative field

MBA with quantitative concentration

Tools

Python

AWS

PySpark

LangChain

LangGraph

HuggingFace Transformers

vLLM

VectorDBs

Job description

Capital One is seeking a Manager, Data Science – GenAI Digital Assistant in New York to lead research and development of conversation AI solutions at scale. You will partner with data scientists, engineers and product managers to deliver AI powered capabilities across our digital assistant platform.

You will fine-tune LLMs, optimize inference, and drive production readiness using Python, AWS, PyTorch and vector databases, translating research into real customer value and reliable experiences for