# Principal Associate, AI Engineer

**Company**: Capital One Canada
**Location**: Toronto, ON
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $148,200 to $169,100
**Category**: Engineering
**Industry**: Finance

**Apply**: https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/Toronto-ON/Principal-Associate--AI-Engineer_R1003538-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_aa3a4cc7-660

## Description

We are seeking a Principal Associate, AI Engineer to join our Intelligent Foundations and Experiences (IFX) team at Capital One Canada. The successful candidate will partner with a cross-functional team to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.

Responsibilities:

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

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

- Invent and introduce state-of-the-art LLM optimization techniques to improve the performance of large-scale production AI systems.

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

Requirements:

- Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:

- Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies.

- Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies.

- At least 3 years of experience programming with Python, Go, Scala, or Java.

Preferred Qualifications:

- 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure, or equivalent private cloud).

- Experience developing, delivering, and supporting AI services.

- Experience developing AI and ML algorithms or technologies (e.g., LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang.

- Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost.

Benefits:

- Take ownership of your own potential: access to tools and mentorship to reach your potential and define your career trajectory.

- Find your rhythm: a hybrid model with 3 days in the office per week.

- Benefits built for your life: full coverage for spouses, domestic partners, and dependents, a one-time Work From Home allowance, up to $3,000 in mental health coverage, and up to $5,000 in annual tuition subsidies.

The expected annual salary range for this position is $148,200 to $169,100.

## Skills

### Required
- Python
- Go
- Scala
- Java
- AI
- ML
- LLM Inference
- Similarity Search
- VectorDBs
- Guardrails
- PyTorch

### Nice to have
- AWS
- Google Cloud
- Azure
- C++
- C#
- Golang

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Source: [Apply at capitalone.wd12.myworkdayjobs.com](https://capitalone.wd12.myworkdayjobs.com/en-US/Capital_One/job/Toronto-ON/Principal-Associate--AI-Engineer_R1003538-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)