# AI Engineer 5 (Gen AI Platform Services: Agentic AI, Guardrails, Evaluations)

**Company**: Capital One
**Experience**: senior
**Job type**: full-time
**Salary**: $229,900 - $262,400 for AI Engineer 5 (Cambridge, MA and McLean, VA), $250,800 - $286,200 for AI Engineer 5 (New York, NY, San Francisco, CA, and San Jose, CA)
**Category**: Engineering
**Industry**: Finance

**Apply**: https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/New-York-NY/AI-Engineer-5--Gen-AI-Platform-Services--Agentic-AI--Guardrails--Evaluations-_R1003163-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_9760acfe-357

## 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.

- Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems

- Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency

- Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards

- Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity

**Requirements:**

- Bachelor'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, or a Master'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

- At least 6 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
- LLM Inference
- Similarity Search
- VectorDBs
- Guardrails
- Memory

### Nice to have
- Experience leading development AI systems
- Experience deploying scalable and responsible AI solutions on cloud platforms
- Experience designing, developing, delivering, and supporting complex AI systems
- Experience developing AI and ML algorithms or technologies
- Experience developing and applying state-of-the-art techniques for optimizing training and inference software

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Source: [Apply at capitalone.wd12.myworkdayjobs.com](https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/New-York-NY/AI-Engineer-5--Gen-AI-Platform-Services--Agentic-AI--Guardrails--Evaluations-_R1003163-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)