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.
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.
- 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 deeply Technical.
- 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.
Preferred Qualifications
- 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud).
- Experience designing, developing, integrating, delivering, and supporting complex AI systems.
- Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders.
- 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.
- Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production.
- Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.
Benefits
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website.
Pay
Salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting.
- 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 full-time.