# AI Engineer 4

**Company**: Capital One
**Location**: Cambridge, MA
**Experience**: senior
**Job type**: full-time
**Salary**: $197,300 - $225,100
**Category**: Engineering
**Industry**: Finance

**Apply**: https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/Cambridge-MA/AI-Engineer-4_R1002467?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_9280465a-60d

## Description

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

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers.

**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.

- Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment.

- Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift.

- Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines.

- Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met.

- Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation.

**Requirements:**

- Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 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 2 years of experience developing AI and ML algorithms or technologies.

- At least 4 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.

**Salary:**

- Cambridge, MA: $197,300 - $225,100 for AI Engineer 4

- McLean, VA: $197,300 - $225,100 for AI Engineer 4

- New York, NY: $215,200 - $245,600 for AI Engineer 4

- San Jose, CA: $215,200 - $245,600 for AI Engineer 4

## Skills

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

### Nice to have
- Experience leading development AI systems
- Experience deploying scalable and responsible AI solutions on cloud platforms
- Experience designing, developing, delivering, and supporting AI services

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Source: [Apply at capitalone.wd12.myworkdayjobs.com](https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/Cambridge-MA/AI-Engineer-4_R1002467?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)