Lead Gen AI Platform Engineer - Scalable LLM Systems

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California (MO)

On-site

USD 140,000 - 210,000

Full time

4 days ago

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Job summary

Capital One is seeking an experienced AI/ML software engineer to partner with cross-functional teams to build AI-powered products. You will design, train, deploy, and support foundation models, inference services, and related AI components using AWS/GCP/Azure and open-source tools.

The role emphasizes scalable AI systems, governance, and experimentation to drive production readiness and cost efficiency across platforms.

Qualifications

Bachelor's degree in Computer Science, AI, Electrical/Computer Engineering or related field with 4+ years of AI/ML experience.
Alternative: Master's degree with 2+ years of AI/ML experience.
4+ years of Python/Go/Scala/Java programming.
Experience deploying AI services on cloud platforms (AWS, GCP, Azure).
Experience with LLM inference, vector databases, guardrails, and model training.

Responsibilities

Partner with cross-functional engineers, researchers, and product managers to deliver AI-powered products.
Design, develop, test, deploy, and support AI software components including foundation model training and inference.
Leverage open-source and SaaS AI tech such as Hugging Face, PyTorch, and cloud platforms.
Invent state-of-the-art LLM optimization techniques to improve scale, latency, and cost.
Contribute to Capital One's technical vision and long-term AI systems roadmap.