AI Engineer 4 — Agentic & Gen AI Workflows Expert

Capital One; San Francisco (CA); On-site; USD 215,000 - 246,000; Full time

Job summary

Capital One is seeking an AI Engineer 4 to design, develop, and deploy AI software components at scale. You will work on foundation model training, LLM inference, agents and multi‑agent workflows, and vector search using a broad stack of OSS and SaaS AI technologies.

You will optimize performance, governance, and observability while aligning with ethical standards. You will lead end‑to‑end architecture for complex AI systems, collaborate with engineers and product managers, and contribute to the

Qualifications

• Degrees with relevant AI/ML experience per basic qualifications.
• Proven experience in developing AI/ML algorithms or technologies.
• Strong programming experience in Python, Go, Scala, CUDA, or Java.

Responsibilities

• Partner with cross‑functional teams to deliver AI‑powered products.
• Design, develop, test, deploy, and support AI software components.
• Leverage OSS and SaaS AI tech like AWS Ultraclusters, HuggingFace, VectorDBs, PyTorch.
• Optimize foundation model performance for scale, cost, latency, and throughput.
• Contribute to the long‑term AI systems roadmap and governance.
• Own end‑to‑end architecture for complex AI systems with observability and ethics.

Skills

Python

Go

Scala

CUDA

Java

ML algorithms

Education

Bachelor’s or Master’s in Computer Science or related fields

Tools

AWS Ultraclusters

HuggingFace

VectorDBs

PyTorch

Job description

Capital One is seeking an AI Engineer 4 to design, develop, and deploy AI software components at scale. You will work on foundation model training, LLM inference, agents and multi‑agent workflows, and vector search using a broad stack of OSS and SaaS AI technologies.

You will optimize performance, governance, and observability while aligning with ethical standards. You will lead end‑to‑end architecture for complex AI systems, collaborate with engineers and product managers, and contribute to the