Senior AI Engineer: Foundations & Agentic Workflows

Capital One Group

United States

Hybrid

USD 230,000 - 262,000

Full time

4 days ago
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Job summary

Capital One is seeking an AI Engineer 5 to join the Intelligent Foundations and Experiences team. You will design and deploy AI software components for foundation models, agents, and multi-agent workflows, while optimizing for performance and cost.

You will lead orchestration pipelines, integrate LLMs with vector databases, and help define the technical roadmap for foundational AI at Capital One. A strong ML background and experience building responsible AI are essential.

Qualifications

  • Bachelor’s degree in CS/AI or related field with strong ML background.
  • 6+ years developing AI/ML algorithms or technologies.
  • Proficiency in Python and at least one of Go, Scala, CUDA, or Java.
  • Experience shipping scalable, production AI systems with guardrails.

Responsibilities

  • Design, develop, test, deploy, and support AI software components for foundation models and agents.
  • Lead multi-model orchestration pipelines integrating LLMs, vector search, and domain models.
  • Evaluate performance, cost, latency, and throughput; optimize production AI systems.
  • Mentor engineers and contribute to the long-term AI foundational roadmap with governance.

Skills

Python
Go
Scala
CUDA
Java
Agentic AI systems

Education

Bachelor's Degree in Computer Science, AI, Electrical/Computer Engineering or related field
Master's degree in CS/AI or related field (or equivalent experience)

Tools

AWS
Hugging Face
PyTorch
VectorDBs

Job description

Capital One is seeking an AI Engineer 5 to join the Intelligent Foundations and Experiences team. You will design and deploy AI software components for foundation models, agents, and multi-agent workflows, while optimizing for performance and cost.

You will lead orchestration pipelines, integrate LLMs with vector databases, and help define the technical roadmap for foundational AI at Capital One. A strong ML background and experience building responsible AI are essential.

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