Senior Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services)
About the role
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.
In this role, you will:
- 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 and support ML software components including distributed model training and inference, model orchestration and observability, etc.
- Leverage a broad stack of Open Source and SaaS AI/ML technologies such as kubernetes, kubeflow pipelines, ray, polars and more
- Invent and introduce state-of-the-art ETL and ML optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production ML systems.
- Contribute to the technical vision and the long term roadmap of ML systems at Capital One.
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 and support ML software components including distributed model training and inference, model orchestration and observability, etc.
Leverage a broad stack of Open Source and SaaS AI/ML technologies such as kubernetes, kubeflow pipelines, ray, polars and more
Invent and introduce state-of-the-art ETL and ML optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production ML systems.
Contribute to the technical vision and the long term roadmap of ML systems at Capital One.
Requirements
You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing.
You want to work on problems that will help change banking for good.
Passion for staying abreast of the latest research and industry trends, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.
You adapt quickly and thrive on bringing clarity to big, undefined problems.
You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity.
You have the courage to share new ideas even when they are unproven.
You are deeply Technical.
You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI/ML enable you to see and exploit optimization opportunities that others miss.
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.
Qualifications
- 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, or Java
Skills
You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI/ML enable you to see and exploit optimization opportunities that others miss.
You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.
Benefits
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
Incentives could be discretionary or non discretionary depending on the plan.
Pay
Salaries for this role are listed below, by location.
- Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer
- McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer
- New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer
- San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer
- San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer
Schedule
This role is expected to accept applications for a minimum of 5 business days.
No agencies please.