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.