Senior AI Systems Engineer Foundation Models & Orchestration

Capital One National Association

New York (NY)

On-site

USD 251,000 - 286,000

Full time

14 days+
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Job summary

Capital One is seeking a highly skilled AI Engineer to join the Intelligent Foundations and Experiences (IFX) team in New York. You will design, build, and optimize AI systems that power real-time, customer-facing AI experiences and internal workflows.

You will collaborate with engineers, researchers, and product managers, advancing state-of-the-art techniques while ensuring governance and cost efficiency. This role emphasizes scalable production systems and leadership in AI engineering

Qualifications

  • Bachelor's or Master's in CS/AI/EE/CE with required experience.
  • 6+ years Python/Go/Scala/CUDA/Java experience.
  • Experience leading AI systems and cloud deployment.
  • Strong understanding of AI systems and optimization.

Responsibilities

  • Partner with cross-functional teams to deliver AI-powered products.
  • Design, develop, test, deploy, and support AI software components.
  • Leverage Open Source and SaaS AI technologies (AWS, Huggingface, PyTorch, etc.).
  • Invent and optimize foundation model performance (latency, cost, throughput).
  • Contribute to the technical vision and long-term AI roadmap.
  • Design and optimize multi-model orchestration pipelines.

Skills

Python
Go/Scala/CUDA/Java
Mathematics
Engineering
Communication

Education

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields

Tools

AWS
Google Cloud
Azure
VectorDBs
Huggingface
PyTorch
CUDA

Job description

Capital One is seeking a highly skilled AI Engineer to join the Intelligent Foundations and Experiences (IFX) team in New York. You will design, build, and optimize AI systems that power real-time, customer-facing AI experiences and internal workflows.

You will collaborate with engineers, researchers, and product managers, advancing state-of-the-art techniques while ensuring governance and cost efficiency. This role emphasizes scalable production systems and leadership in AI engineering

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