Senior AI Platform Architect (Remote)

Capital One

Juneau (AK)

Remote

USD 286,000 - 327,000

Full time

5 days ago
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Benefits offered by this job

Remote work allowed
Competitive compensation
Health benefits

Job summary

Capital One is seeking a Sr. Staff AI Engineer for a remote-eligible role to help build responsible and scalable AI systems. You will work with engineers, scientists, PMs, and product managers to deploy AI components, including foundation model training, large language model inference, and multi-agent workflows.

Strong Python/ML skills, experience with PyTorch, HuggingFace, and VectorDBs are key. The role emphasizes performance optimization, governance, and reliability across production AI

Qualifications

  • Bachelor's or Master's degree in a related field with extensive AI/ML experience.
  • At least 10 years of experience coding in Python, Go, Scala, CUDA, or Java.

Responsibilities

  • Partner with cross-functional teams to deliver AI-powered products affecting workflows and customer interactions.
  • Design, develop, test, deploy, and support AI software components including model training, inference, and governance.
  • Leverage a broad stack of Open Source and SaaS AI technologies and optimize performance, cost, and latency.
  • Lead architectural vision for foundational AI systems and enterprise-wide governance standards.
  • Mentor senior engineers and influence stakeholders up to SVP level.

Skills

Python
Go
Scala
CUDA
Java

Education

Bachelor's degree in CS/AI/EE/CE or related fields
Master's degree in CS/AI/EE/CE or related fields

Tools

AWS
Google Cloud
Azure
Huggingface
PyTorch
VectorDBs

Job description

Capital One is seeking a Sr. Staff AI Engineer for a remote-eligible role to help build responsible and scalable AI systems. You will work with engineers, scientists, PMs, and product managers to deploy AI components, including foundation model training, large language model inference, and multi-agent workflows.

Strong Python/ML skills, experience with PyTorch, HuggingFace, and VectorDBs are key. The role emphasizes performance optimization, governance, and reliability across production AI

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