# Staff AI Engineer - Enterprise Analysis Platform

**Company**: Capital One
**Work arrangement**: remote
**Experience**: staff
**Job type**: full-time
**Salary**: $244,700 - $279,200
**Category**: Engineering
**Industry**: Finance

**Apply**: https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/San-Jose-CA/Staff-AI-Engineer---Enterprise-Analysis-Platform--Remote-Eligible-_R1002547-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_b2ba7824-944

## Description

At Capital One, we are creating responsible and reliable AI systems, changing banking for good.

The Intelligent Foundations and Experiences (IFX) team is currently working on building a new AI native platform to empower our broader business community to execute AI assisted analysis across our many lines of business.

**Responsibilities:**

- Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.

- Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.

- Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.

- Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance , scalability, cost, latency, throughput , of large scale production AI systems.

- Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.

- Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams

- Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads

- Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design

- Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds

**Requirements:**

- Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies

- At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java

**Benefits:**

- Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

## Skills

### Required
- Python
- Go
- Scala
- CUDA
- Java
- AI
- ML
- AWS Ultraclusters
- Huggingface
- VectorDBs
- PyTorch

### Nice to have
- Experience designing AI systems
- Experience deploying scalable and responsible AI solutions
- Experience architecting complex AI systems
- Experience leading and mentoring multiple engineering teams

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Source: [Apply at capitalone.wd12.myworkdayjobs.com](https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/San-Jose-CA/Staff-AI-Engineer---Enterprise-Analysis-Platform--Remote-Eligible-_R1002547-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)